From 4b0380d18c1c1d01db256946a57fd4e85ddbef12 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Mon, 9 Dec 2024 13:56:56 -0600 Subject: [PATCH 1/8] added OIL extention + needed changes in Server and AutoSubV2 LUA --- .../src-tauri/resources/AutoSubs V2.lua | 24 ++ .../ChromeExtention/background.js | 152 ++++++++ BrowserExtentions/ChromeExtention/content.js | 111 ++++++ .../ChromeExtention/css/styles.css | 17 + .../ChromeExtention/images/icon-128x128.png | Bin 0 -> 103948 bytes .../ChromeExtention/images/icon-16x16.png | Bin 0 -> 103948 bytes .../ChromeExtention/images/icon-32x32.png | Bin 0 -> 103948 bytes BrowserExtentions/ChromeExtention/js/popup.js | 43 +++ .../ChromeExtention/manifest.json | 48 +++ BrowserExtentions/ChromeExtention/popup.html | 21 ++ Transcription-Server/requirements-win.txt | 5 +- Transcription-Server/server.py | 324 ++++++++++-------- 12 files changed, 604 insertions(+), 141 deletions(-) create mode 100644 BrowserExtentions/ChromeExtention/background.js create mode 100644 BrowserExtentions/ChromeExtention/content.js create mode 100644 BrowserExtentions/ChromeExtention/css/styles.css create mode 100644 BrowserExtentions/ChromeExtention/images/icon-128x128.png create mode 100644 BrowserExtentions/ChromeExtention/images/icon-16x16.png create mode 100644 BrowserExtentions/ChromeExtention/images/icon-32x32.png create mode 100644 BrowserExtentions/ChromeExtention/js/popup.js create mode 100644 BrowserExtentions/ChromeExtention/manifest.json create mode 100644 BrowserExtentions/ChromeExtention/popup.html diff --git a/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua b/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua index 48f2aa4..07b3873 100644 --- a/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua +++ b/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua @@ -444,6 +444,13 @@ function AddSubtitles(filePath, trackIndex, templateName, textFormat, removePunc end end + +-- Add subtitles to the timeline using the specified template +function AddMediaToBin(filePath) + local mediaStorage = resolve:GetMediaStorage() + mediaStorage:AddItemListToMediaPool(filePath) +end + local function set_cors_headers(client) client:send("HTTP/1.1 200 OK\r\n") client:send("Access-Control-Allow-Origin: *\r\n") @@ -554,6 +561,23 @@ while not quitServer do body = json.encode({ message = "Job completed" }) + elseif data.func == "GetTimelineStoragePath" then -- this is how davinchi knows what to do. Localhost:55010 + print("[AutoSubs Server] Cooked With OIL") + + print("Mounted Volume List: ", mountedVolumeList[1]) + print("Current Project: ", currentProject) + -- above is where files collected using OIL are stored mountedVolumeList[1]+currentProject + -- Prepare the body for the API request + + body = json.encode({ + message = "Job completed", + filePath = mountedVolumeList[1] .. '/' .. currentProject + }) + elseif data.func == "AddMediaToBin" then -- this is h + AddMediaToBin(data.filePath) + body = json.encode({ + message = "Job completed" + }) elseif data.func == "Exit" then body = json.encode({ message = "Server shutting down" diff --git a/BrowserExtentions/ChromeExtention/background.js b/BrowserExtentions/ChromeExtention/background.js new file mode 100644 index 0000000..561950d --- /dev/null +++ b/BrowserExtentions/ChromeExtention/background.js @@ -0,0 +1,152 @@ +// Create context menu items for images and videos +chrome.runtime.onInstalled.addListener(() => { + chrome.contextMenus.create({ + id: "sendMediaToApi", + title: "Send URL to Local API", + contexts: ["image", "video"], // Show menu on right-clicking images or videos + }); +}); +function makenotifications(title, message) { + chrome.notifications.create( + { + type: "basic", + iconUrl: "images/icon-128x128.png", + title: title, + message: message, + priority: 2, + }, + (notificationId) => { + // Clear the notification after 3 seconds + setTimeout(() => { + chrome.notifications.clear(notificationId); + }, 3000); + } + ); +} + + + +chrome.tabs.onUpdated.addListener((tabId, changeInfo) => { + if (changeInfo.status === "complete") { + chrome.scripting + .executeScript({ + target: { tabId }, + files: ["./content.js"], + }) + .then(() => { + console.log("content script injected"); + }) + .catch((err) => console.log(err, "error injecting script")); + } + }); + +// Handle the context menu click +chrome.contextMenus.onClicked.addListener((info) => { + console.log(info); + if (info.menuItemId === "sendMediaToApi" && info.srcUrl) { + const mediaUrl = info.srcUrl; // URL of the image or video + sendStringToApi('save_image',mediaUrl).then((result) => { + if (result != "true") { + console.log(result); + const title = "Failed To send, check if localhost is running"; + const message = + "Failed to send media URL. Please check if the local API is running."; + makenotifications(title, message); + } + }); + } +}); + +chrome.commands.onCommand.addListener((command) => { + console.log(`Command: ${command}`); + if (command === "open-screen-captue") { + // Get the current active tab + chrome.tabs.query({ active: true, currentWindow: true }, (tabs) => { + if (tabs.length > 0) { + const currentTab = tabs[0]; + console.log("Current Tab:", currentTab); + + // Perform any action with the current tab + // For example, you can send a message to the content script + chrome.tabs.sendMessage( + currentTab.id, + { action: "recording_request" }, + (response) => { + if (chrome.runtime.lastError) { + console.error( + "Error sending message:", + chrome.runtime.lastError.message + ); + const title = "Screen Recorder Error"; + const message = + "Failed to start screen recording. Please refresh the page, or go to a different tab to start capture."; + makenotifications(title, message); + } else { + console.log("Response from content script:", response); + if (response === undefined) { + const title = "cannot start capture on base chrome pages"; + const message = + "Failed to start screen recording. Please or go to a different tab or page to start capture."; + makenotifications(title, message); + } + } + } + ); + + chrome.action.openPopup(); + console.log("Popup opened"); + } else { + console.error("No active tab found"); + } + }); + } +}); + +chrome.runtime.onMessage.addListener((message, sender, sendResponse) => { + if (message.action === "get_tab_title") { + chrome.tabs.query({ active: true, currentWindow: true }, (tabs) => { + if (tabs.length > 0) { + sendResponse({ tabTitle: tabs[0].title }); + } else { + sendResponse({ tabTitle: null }); + } + }); + return true; // Keep the message channel open for sendResponse + //the file save name to send to the backend. + } else if (message.action === "save_name") { + sendStringToApi('save_video',message.saveName).then((result) => { + if (result != "true") { + console.log(result); + const title = "Failed To send filename, check if localhost is running"; + const message = + "Failed to send filename. Please check if the local API is running."; + makenotifications(title, message); + } + }); + } +}); + +function sendStringToApi(apiPath,stringSent) { + const apiUrl = `http://localhost:55000/${apiPath}/`; // Replace with your local API endpoint + console.log("Sending stringSent to API:", apiUrl); + return fetch(apiUrl, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify({ releventString: stringSent }), + }) + .then((response) => { + if (response.ok) { + console.log("stringSent sent successfully!"); + return "true"; + } else { + console.error("Failed to send stringSent:", response.status); + return response.status; + } + }) + .catch((error) => { + console.error("Error:", error); + return error; + }); +} diff --git a/BrowserExtentions/ChromeExtention/content.js b/BrowserExtentions/ChromeExtention/content.js new file mode 100644 index 0000000..ccac7a9 --- /dev/null +++ b/BrowserExtentions/ChromeExtention/content.js @@ -0,0 +1,111 @@ +console.log("content script running"); + +var recorder = null; + +function onAccessApproved(stream) { + recorder = new MediaRecorder(stream, { + videoBitsPerSecond: 5000000, + ignoreMutedMedia: true, + mimeType: "video/webm;codecs=h264,vp9,opus", + }); + + recorder.start(); + + recorder.onstop = function () { + stream.getTracks().forEach(function (track) { + if (track.readyState === "live") { + track.stop(); + } + }); + }; + + recorder.ondataavailable = function (event) { + let recordedData = event.data; + let url = URL.createObjectURL(recordedData); + // Get the current tab's title + chrome.runtime.sendMessage({ action: "get_tab_title" }, (response) => { + if (response && response.tabTitle) { + let tabTitle = response.tabTitle; + // Clean the tab title to make it a valid file name + let cleanedTitle = tabTitle.replace(/[^a-z0-9]/gi, "_").toLowerCase(); + + let a = document.createElement("a"); + a.style.display = "none"; + a.href = url; + a.download = `${cleanedTitle}.mp4`; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + chrome.runtime.sendMessage({ action: "save_name", saveName: a.download }); + } else { + console.error("Failed to get tab title"); + let a = document.createElement("a"); + a.style.display = "none"; + a.href = url; + a.download = "screen-recording.mp4"; + document.body.append(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + chrome.runtime.sendMessage({ action: "save_name", saveName: a.download }); + } + }); + }; +} + +chrome.runtime.onMessage.addListener((message, sender, sendResponse) => { + if (message.action === "recording_request") { + console.log("recording requested"); + sendResponse(`seen: ${message.action}`); + + navigator.mediaDevices + .getDisplayMedia({ + audio: true, + video: true, + }) + .then((stream) => { + onAccessApproved(stream); + }); + } + + if (message.action === "stop_recording") { + console.log("Stop recording"); + sendResponse(`seen: ${message.action}`); + + if (!recorder) { + return console.log("no recording"); + } else { + recorder.stop(); + } + } +}); + +chrome.commands.onCommand.addListener((command) => { + console.log(`Command: ${command}`); + console.log(bool(command === "open-screen-captue")); + if (command === "open-screen-captue") { + console.log("recording requested"); + sendResponse(`seen: ${command}`); + + navigator.mediaDevices + .getDisplayMedia({ + audio: true, + video: true, + }) + .then((stream) => { + onAccessApproved(stream); + }); + } + + if (command === "end-screen-captue") { + console.log("Stop recording"); + sendResponse(`seen: ${command}`); + + if (!recorder) { + return console.log("no recording"); + } else { + recorder.stop(); + } + } +}); diff --git a/BrowserExtentions/ChromeExtention/css/styles.css b/BrowserExtentions/ChromeExtention/css/styles.css new file mode 100644 index 0000000..48b5278 --- /dev/null +++ b/BrowserExtentions/ChromeExtention/css/styles.css @@ -0,0 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zsiYF5`5N-v{@)f7fdbbM%_)!pM1*AyC<%z&KH&Wak&?6<^x)Uzt)M;rk0ke2X8D{F W^({SL{j<&Mz;WzIfNwoEBI9pt;9AfC literal 0 HcmV?d00001 diff --git a/BrowserExtentions/ChromeExtention/js/popup.js b/BrowserExtentions/ChromeExtention/js/popup.js new file mode 100644 index 0000000..a349d25 --- /dev/null +++ b/BrowserExtentions/ChromeExtention/js/popup.js @@ -0,0 +1,43 @@ +startVideoButtondocument.addEventListener("DOMContentLoaded", ()=>{ + const startRecordingButton = document.querySelector("button#start_recording") + const stopRecordingButton = document.querySelector("button#stop_recording") + + chrome.notifications.getAll(function(notifications) { + window.close(); + }); + + chrome.tabs.query({active: true, currentWindow: true}, function(tabs){ + console.log(tabs, 'line 7') + chrome.tabs.sendMessage(tabs[0].id, {action: "recording_request"}, function(response){ + if(!chrome.runtime.lastError){ + console.log(response) + }else{ + console.log(chrome.runtime.lastError, 'line 15 error') + } + }) + }) + + startRecordingButton.addEventListener("click", ()=>{ + chrome.tabs.query({active: true, currentWindow: true}, function(tabs){ + chrome.tabs.sendMessage(tabs[0].id, {action: "recording_request"}, function(response){ + if(!chrome.runtime.lastError){ + console.log(response) + }else{ + console.log(chrome.runtime.lastError, 'line 26 error') + } + }) + }) + }); + + stopRecordingButton.addEventListener("click", ()=>{ + chrome.tabs.query({active: true, currentWindow: true}, function(tabs){ + chrome.tabs.sendMessage(tabs[0].id, {action: "stop_recording"}, function(response){ + if(!chrome.runtime.lastError){ + console.log(response) + }else{ + console.log(chrome.runtime.lastError, 'line 38 error') + } + }) + }) + }) +}) \ No newline at end of file diff --git a/BrowserExtentions/ChromeExtention/manifest.json b/BrowserExtentions/ChromeExtention/manifest.json new file mode 100644 index 0000000..b1333c1 --- /dev/null +++ b/BrowserExtentions/ChromeExtention/manifest.json @@ -0,0 +1,48 @@ +{ + "name": "Davinchi OIL", + "version": "0.1", + "manifest_version": 3, + "description": "Send content to Davinchi Resolve BIN", + "permissions": ["storage","notifications", "tabs", "activeTab","scripting","contextMenus","downloads"], + "icons":{ + "128": "./images/icon-128x128.png" + }, + "background":{ + "service_worker": "./background.js" + }, + "action":{ + "default_popup": "popup.html", + "default_icon": { + "16": "./images/icon-16x16.png", + "32": "./images/icon-32x32.png", + "128": "./images/icon-128x128.png" + } + }, + "host_permissions": [ + "http://localhost:55000/*", + "" + ],"commands": { + "open-screen-captue": { + "suggested_key": { + "default": "Ctrl+Shift+E", + "mac": "Command+Shift+E" + }, + "description": "Run \"screen-captue\" on the current page." + }, + "end-screen-captue": { + "suggested_key": { + "default": "Ctrl+Shift+Q", + "mac": "Command+Shift+Q" + }, + "description": "INCOMEPLETE:Run \"screen-captue\" on the current page." + }, + "_execute_action": { + "suggested_key": { + "windows": "Ctrl+Shift+E", + "mac": "Command+Shift+E", + "chromeos": "Ctrl+Shift+E", + "linux": "Ctrl+Shift+E" + } + } + } +} \ No newline at end of file diff --git a/BrowserExtentions/ChromeExtention/popup.html b/BrowserExtentions/ChromeExtention/popup.html new file mode 100644 index 0000000..2b6d1ef --- /dev/null +++ b/BrowserExtentions/ChromeExtention/popup.html @@ -0,0 +1,21 @@ + + + + + + OIL Video Recorder + + +
    +

    START RECORDING

    +
    + +
    +
    +
    + +
    +
    + + + \ No newline at end of file diff --git a/Transcription-Server/requirements-win.txt b/Transcription-Server/requirements-win.txt index e320ba8..015a46c 100644 --- a/Transcription-Server/requirements-win.txt +++ b/Transcription-Server/requirements-win.txt @@ -7,4 +7,7 @@ git+https://github.com/jianfch/stable-ts.git faster-whisper pyannote.audio appdirs -pyinstaller \ No newline at end of file +pyinstaller +urllib +mimetypes +requests \ No newline at end of file diff --git a/Transcription-Server/server.py b/Transcription-Server/server.py index c423640..cda7564 100644 --- a/Transcription-Server/server.py +++ b/Transcription-Server/server.py @@ -1,52 +1,25 @@ -import sys -import os - -# Set the default encoding to UTF-8 -os.environ['PYTHONIOENCODING'] = 'utf-8' -os.environ['PYTHONUTF8'] = '1' - -class Unbuffered(object): - def __init__(self, stream): - self.stream = stream - - def write(self, data): - if self.stream: - self.stream.write(data) - self.stream.flush() - - def writelines(self, datas): - if self.stream: - self.stream.writelines(datas) - self.stream.flush() - - def __getattr__(self, attr): - return getattr(self.stream, attr) - -# Reconfigure stdout and stderr to use UTF-8 encoding before wrapping -sys.stdout.reconfigure(encoding='utf-8') -sys.stderr.reconfigure(encoding='utf-8') - -# Ensure stdout and stderr are line-buffered after reconfiguration -sys.stdout = Unbuffered(sys.stdout) -sys.stderr = Unbuffered(sys.stderr) - from fastapi.middleware.cors import CORSMiddleware import json import random import uvicorn from pydantic import BaseModel -from fastapi import FastAPI, HTTPException, status +from fastapi import FastAPI, HTTPException, status,Request +from fastapi.responses import JSONResponse import asyncio +import sys +import os import appdirs -import time +import time import platform -import stable_whisper +import requests +import mimetypes +from urllib.parse import urlparse, urlunparse +import re + + # Define a base cache directory using appdirs -if platform.system() == 'Windows': - cache_dir = appdirs.user_cache_dir("AutoSubs-Cache", "") -else: - cache_dir = appdirs.user_cache_dir("AutoSubs", "") +cache_dir = appdirs.user_cache_dir("AutoSubs", "") # Empty string for appauthor # Matplotlib cache directory matplotlib_cache_dir = os.path.join(cache_dir, 'matplotlib_cachedir') @@ -57,7 +30,6 @@ def __getattr__(self, attr): huggingface_cache_dir = os.path.join(cache_dir, 'hf_cache') os.makedirs(huggingface_cache_dir, exist_ok=True) os.environ['HF_HUB_CACHE'] = huggingface_cache_dir -os.environ['HF_HOME'] = huggingface_cache_dir # Torch cache directory pyannote_cache_dir = os.path.join(cache_dir, 'pyannote_cache') @@ -69,8 +41,30 @@ def __getattr__(self, attr): print(f"Hugging Face cache directory: {huggingface_cache_dir}") print(f"Torch cache directory: {pyannote_cache_dir}") -from huggingface_hub import HfApi, HfFolder, login, snapshot_download from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError +from huggingface_hub import HfApi, HfFolder, login, snapshot_download + +class Unbuffered(object): + def __init__(self, stream): + self.stream = stream + + def write(self, data): + if self.stream: + self.stream.write(data) + self.stream.flush() + + def writelines(self, datas): + if self.stream: + self.stream.writelines(datas) + self.stream.flush() + + def __getattr__(self, attr): + return getattr(self.stream, attr) + + +# Ensure stdout and stderr are line-buffered +sys.stdout = Unbuffered(sys.stdout) +sys.stderr = Unbuffered(sys.stderr) if getattr(sys, 'frozen', False): base_path = sys._MEIPASS @@ -86,7 +80,7 @@ def __getattr__(self, attr): ffmpeg_path = os.path.join(base_path, 'ffmpeg_bin_win') else: ffmpeg_path = os.path.join(base_path, 'ffmpeg_bin_mac') - + os.environ["PATH"] = ffmpeg_path + os.pathsep + os.environ["PATH"] app = FastAPI() @@ -109,7 +103,7 @@ def __getattr__(self, attr): "large": "large-v3", "tiny.en": "tiny.en", "base.en": "base.en", - "small.en": "small.en", + "small.en": "distil-small.en", "medium.en": "medium.en", "large.en": "large-v3", } @@ -167,8 +161,7 @@ def is_model_accessible(model_id, token=None, revision=None): return False except HfHubHTTPError as e: if e.response.status_code == 403: - print(f"Access denied to model '{ - model_id}'. You may need to accept the model's terms or provide a valid token.") + print(f"Access denied to model '{model_id}'. You may need to accept the model's terms or provide a valid token.") elif e.response.status_code == 401: print(f"Unauthorized access. Please check your Hugging Face access token.") else: @@ -179,8 +172,6 @@ def is_model_accessible(model_id, token=None, revision=None): return False # Function for transcribing the audio - - def inference(audio, **kwargs) -> dict: import mlx_whisper if kwargs["language"] == "auto": @@ -202,32 +193,35 @@ def inference(audio, **kwargs) -> dict: ) return output - def log_progress(seek, total_duration): # print progress as percentage print(f"Progress: {seek/total_duration*100:.0f}%") +def transcribe_audio(audio_file, kwargs, max_words, max_chars): + import stable_whisper -def transcribe_audio(audio_file, kwargs, max_words, max_chars, sensitive_words): if (platform.system() == 'Windows'): - compute_type = "int8_float16" if kwargs["device"] == "cuda" else "int8" - model = stable_whisper.load_faster_whisper( - kwargs["model"], device=kwargs["device"], compute_type=compute_type) + compute_type = "int16" if kwargs["device"] == "cuda" else "int8" + model = stable_whisper.load_faster_whisper(kwargs["model"], device=kwargs["device"], compute_type=compute_type) if kwargs["language"] == "auto": - result = model.transcribe_stable( - audio_file, task=kwargs["task"], verbose=True, vad_filter=True, progress_callback=log_progress) + result = model.transcribe_stable(audio_file, task=kwargs["task"], verbose=True, vad_filter=True, condition_on_previous_text=False, progress_callback=log_progress) else: - result = model.transcribe_stable( - audio_file, language=kwargs["language"], task=kwargs["task"], verbose=True, vad_filter=True, progress_callback=log_progress) + result = model.transcribe_stable(audio_file, language=kwargs["language"], task=kwargs["task"], verbose=True, vad_filter=True, condition_on_previous_text=False, progress_callback=log_progress) model.align(audio_file, result, kwargs["language"]) - if kwargs["align_words"]: - model.align_words(audio_file, result, kwargs["language"]) - else: - result = stable_whisper.transcribe_any( - inference, audio_file, inference_kwargs=kwargs, vad=False) + result = stable_whisper.transcribe_any(inference, audio_file, inference_kwargs = kwargs, vad=True, force_order=True) - result = modify_result(result, max_words, max_chars, sensitive_words) + ( + result + .ignore_special_periods() + .clamp_max() + .split_by_punctuation([(',', ' '), ',']) + .split_by_gap(.3) + .merge_by_gap(.2, max_words=2) + .split_by_punctuation([('.', ' '), '。', '?', '?']) + .split_by_length(max_words=max_words, max_chars=max_chars) + .adjust_gaps() + ) return result.to_dict() @@ -253,7 +247,6 @@ def merge_diarisation(transcript, diarization): new_segments = [] transcript_segments = transcript["segments"] diarization_turns = list(diarization.itertracks(yield_label=True)) - diarization_segments = [] i, j = 0, 0 while i < len(transcript_segments) and j < len(diarization_turns): @@ -282,12 +275,6 @@ def merge_diarisation(transcript, diarization): } new_segments.append(new_segment) - diarization_segments.append({ - "speaker": speaker_label, - "start": diar_start, - "end": diar_end - }) - # Add speaker info if not already present if speaker not in speakers_info: # Select a random color and remove it from the list to avoid duplicates @@ -365,15 +352,14 @@ def merge_diarisation(transcript, diarization): "id": top_speaker["id"], "percentage": round((top_speaker["subtitle_lines"] / len(transcript_segments)) * 100) }, - "segments": new_segments, - "diarization": diarization_segments + "segments": new_segments } return result -async def async_transcribe_audio(file_path, kwargs, max_words, max_chars, sensitive_words): +async def async_transcribe_audio(file_path, kwargs, max_words, max_chars): """Asynchronous transcription function.""" - return transcribe_audio(file_path, kwargs, max_words, max_chars, sensitive_words) + return transcribe_audio(file_path, kwargs, max_words, max_chars) async def async_diarize_audio(file_path, device): @@ -381,20 +367,19 @@ async def async_diarize_audio(file_path, device): return diarize_audio(file_path, device) -async def process_audio(file_path, kwargs, max_words, max_chars, sensitive_words, device, diarize_enabled): +async def process_audio(file_path, kwargs, max_words, max_chars, device, diarize_enabled): """Process audio: transcription and diarization concurrently.""" if diarize_enabled: # Run transcription and diarization concurrently transcript, diarization = await asyncio.gather( - async_transcribe_audio( - file_path, kwargs, max_words, max_chars, sensitive_words), + async_transcribe_audio(file_path, kwargs, max_words, max_chars), async_diarize_audio(file_path, device) ) # Merge diarization with transcription result = merge_diarisation(transcript, diarization) else: # Run transcription only - transcript = await async_transcribe_audio(file_path, kwargs, max_words, max_chars, sensitive_words) + transcript = await async_transcribe_audio(file_path, kwargs, max_words, max_chars) transcript["speakers"] = [] result = transcript @@ -409,13 +394,10 @@ class TranscriptionRequest(BaseModel): language: str task: str diarize: bool - align_words: bool max_words: int max_chars: int - sensitive_words: list mark_in: int - @app.post("/transcribe/") async def transcribe(request: TranscriptionRequest): try: @@ -435,9 +417,9 @@ async def transcribe(request: TranscriptionRequest): file_path = request.file_path timeline = request.timeline + language = request.language max_words = request.max_words max_chars = request.max_chars - sensitive_words = request.sensitive_words # Check if the file exists if not os.path.exists(file_path): @@ -448,29 +430,26 @@ async def transcribe(request: TranscriptionRequest): else: print(f"Processing file: {file_path}") - import torch - kwargs = { - "model": model, - "task": task, - "language": request.language, - "align_words": request.align_words, - "device": "cuda" if torch.cuda.is_available() else "cpu" - } + kwargs = {"model": model, "language": language, "task": task} # Select device + import torch if torch.cuda.is_available(): device = torch.device("cuda") + kwargs["device"] = "cuda" elif torch.backends.mps.is_available(): device = torch.device("mps") + kwargs["device"] = "mps" else: device = torch.device("cpu") + kwargs["device"] = "cpu" print(f"Using device: {device}") # Process audio (transcription and optionally diarization) try: result = await process_audio( - file_path, kwargs, max_words, max_chars, sensitive_words, device, request.diarize, + file_path, kwargs, max_words, max_chars, device, request.diarize ) result["mark_in"] = request.mark_in except Exception as e: @@ -484,8 +463,8 @@ async def transcribe(request: TranscriptionRequest): json_filename = f"{timeline}.json" json_filepath = os.path.join(request.output_dir, json_filename) try: - with open(json_filepath, 'w', encoding='utf-8') as f: - json.dump(result, f, indent=4, ensure_ascii=False) + with open(json_filepath, 'w') as f: + json.dump(result, f, indent=4) print(f"Transcription saved to: {json_filepath}") except Exception as e: print(f"Error saving JSON file: {e}") @@ -493,7 +472,7 @@ async def transcribe(request: TranscriptionRequest): status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Error saving JSON file: {e}" ) - + end_time = time.time() print(f"Transcription time: {end_time - start_time} seconds") @@ -511,53 +490,6 @@ async def transcribe(request: TranscriptionRequest): detail=f"Unexpected error: {e}" ) -# class ModifyRequest(BaseModel): -# file_path: str -# max_words: int -# max_chars: int -# sensitive_words: list - -# @app.post("/modify/") -# async def modify(request: ModifyRequest): -# result = stable_whisper.WhisperResult(request.file_path) -# result.reset() -# result = modify_result(result, request.max_words, request.max_chars, request.sensitive_words) -# whisperResult = result.to_dict() -# return {"complete": True} - - -def modify_result(result, max_words, max_chars, sensitive_words): - # matching function to identify sensitive words - def is_sensitive(word, sensitive_words): - return word.word.lower().strip() in [w.lower() for w in sensitive_words] - - # replacement function to censor the sensitive words - def censor_word(result, seg_index, word_index): - word = result[seg_index][word_index] - match = word.word.strip() - # Replace each character with an asterisk - word.word = word.word.replace(match, '*' * len(word.word.strip())) - - # Apply the custom_operation to censor sensitive words - if len(sensitive_words) > 0: - result.custom_operation( - key='', # Empty string to use the word object directly - operator=is_sensitive, # Use the is_sensitive function as the operator - value=sensitive_words, # Pass the sensitive_words list as the value - method=censor_word, # Use the censor_word function to perform the replacement - word_level=True # Operate at the word level - ) - - ( - result - .split_by_punctuation([('.', ' '), '。', '?', '?', ',', ',']) - .split_by_gap(0.4) - .merge_by_gap(0.1, max_words=3) - .split_by_length(max_words=max_words, max_chars=max_chars) - ) - - return result - class ValidateRequest(BaseModel): token: str @@ -587,5 +519,117 @@ async def validate_model(request: ValidateRequest): return {"isAvailable": True, "message": "All required models are available"} + + + +@app.route('/save_image/', methods=['POST']) +async def receive_text(request:Request): + data = await request.json() + print("data",data) + + relevent_string = data.get('releventString', '') + response = { + 'releventString': relevent_string, + 'message': 'url received successfully' + } + print(relevent_string) + print(response) + handle_url(response['releventString']) + return JSONResponse(content=response, status_code=200) + +def handle_url(url): + print("url",url) + parsed_url = urlparse(url) + clean_url = urlunparse(parsed_url._replace(query='')) + mime_type, _ = mimetypes.guess_type(clean_url) + if mime_type : + if mime_type.startswith('image'): + downloadfile(url, 'image') + elif mime_type.startswith('video') or mime_type.startswith('audio'): + downloadfile(url, 'video') + else: + print("Unsupported file type") + else: + print("Could not determine the file type,defualt to img") + downloadfile(url, 'image') + return "Downloaded" + +def sanitize_filename(filename): + return re.sub(r'[^\w\-_\. ]', '_', filename) + + +def downloadfile( url,type): + print("url",url) + print(url) + sanitized_url = sanitize_filename(url) + resolveAPI = "http://localhost:55010/" + + # Define the headers + headers = { + 'Content-Type': 'application/json', + } + + # Define the JSON payload + data = { + "func": "GetTimelineStoragePath", + # Replace with your actual storage directory + } + + # Send the POST request with JSON data + response = requests.post(resolveAPI, headers=headers, json=data) + + # Print the response + print("Status Code:", response.status_code) + print("Response JSON:", response.json()) + jsondata = response.json() + getfilepath = jsondata['filePath'] + print("getfilepath",getfilepath) + + # Create the directory if it doesn't exist + if not os.path.exists(getfilepath): + os.makedirs(getfilepath) + + if type == "video": # TODO: handle WEBM and other nom MP4 files (wav? if not supported already) + response = requests.get(url, stream=True) + file_extension = mimetypes.guess_extension(response.headers['Content-Type']) + if not file_extension: + file_extension = '.mp4' # Default to .mp4 if Content-Type is not available + print(len(sanitized_url)) + if len(sanitized_url) > 50: + sanitized_url = sanitized_url[:50] + file_path = f"{getfilepath}/{sanitized_url.replace(".","")}{file_extension}" + print("file_path",file_path) + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=1024): + if chunk: + f.write(chunk) + print("Done vid") + elif type == "image": + response = requests.get(url) + print("fileformat",mimetypes.guess_extension(response.headers['Content-Type'])) + fileformat = mimetypes.guess_extension(response.headers['Content-Type']) + print("responseURL",url) + file_path = f"{getfilepath}/{sanitized_url.replace(".","")}" + with open(file_path+fileformat, 'wb') as f: + f.write(response.content) + file_path = file_path+fileformat + print("Done img") + + # Define the headers + headers = { + 'Content-Type': 'application/json', + } + # Define the JSON payload + data = { + "func": "AddMediaToBin", + "filePath": file_path + } + # Send the POST request with JSON data + response = requests.post(resolveAPI, headers=headers, json=data) + # Print the response + print("Status Code:", response.status_code) + print("Response JSON:", response.json()) + + if __name__ == "__main__": uvicorn.run(app, host="localhost", port=55000, log_level="info") From c0a1e18feaeed05d45e57dc856d79ba30275a6d3 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Mon, 9 Dec 2024 16:54:57 -0600 Subject: [PATCH 2/8] updating to match latest changes in main repo --- Transcription-Server/server.py | 213 ++++++++++++++++++++++----------- 1 file changed, 143 insertions(+), 70 deletions(-) diff --git a/Transcription-Server/server.py b/Transcription-Server/server.py index cda7564..fc13e1d 100644 --- a/Transcription-Server/server.py +++ b/Transcription-Server/server.py @@ -1,25 +1,60 @@ +import sys +import os + +# Set the default encoding to UTF-8 +os.environ['PYTHONIOENCODING'] = 'utf-8' +os.environ['PYTHONUTF8'] = '1' + +class Unbuffered(object): + def __init__(self, stream): + self.stream = stream + + def write(self, data): + if self.stream: + self.stream.write(data) + self.stream.flush() + + def writelines(self, datas): + if self.stream: + self.stream.writelines(datas) + self.stream.flush() + + def __getattr__(self, attr): + return getattr(self.stream, attr) + +# Reconfigure stdout and stderr to use UTF-8 encoding before wrapping +sys.stdout.reconfigure(encoding='utf-8') +sys.stderr.reconfigure(encoding='utf-8') + +# Ensure stdout and stderr are line-buffered after reconfiguration +sys.stdout = Unbuffered(sys.stdout) +sys.stderr = Unbuffered(sys.stderr) + from fastapi.middleware.cors import CORSMiddleware import json import random import uvicorn from pydantic import BaseModel -from fastapi import FastAPI, HTTPException, status,Request -from fastapi.responses import JSONResponse +from fastapi import FastAPI, HTTPException, status, Request import asyncio -import sys -import os import appdirs -import time +import time import platform +import stable_whisper +from fastapi.responses import JSONResponse +import sys +import os import requests import mimetypes from urllib.parse import urlparse, urlunparse import re - # Define a base cache directory using appdirs -cache_dir = appdirs.user_cache_dir("AutoSubs", "") # Empty string for appauthor +if platform.system() == 'Windows': + cache_dir = appdirs.user_cache_dir("AutoSubs-Cache", "") +else: + cache_dir = appdirs.user_cache_dir("AutoSubs", "") # Matplotlib cache directory matplotlib_cache_dir = os.path.join(cache_dir, 'matplotlib_cachedir') @@ -30,6 +65,7 @@ huggingface_cache_dir = os.path.join(cache_dir, 'hf_cache') os.makedirs(huggingface_cache_dir, exist_ok=True) os.environ['HF_HUB_CACHE'] = huggingface_cache_dir +os.environ['HF_HOME'] = huggingface_cache_dir # Torch cache directory pyannote_cache_dir = os.path.join(cache_dir, 'pyannote_cache') @@ -41,30 +77,8 @@ print(f"Hugging Face cache directory: {huggingface_cache_dir}") print(f"Torch cache directory: {pyannote_cache_dir}") -from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError from huggingface_hub import HfApi, HfFolder, login, snapshot_download - -class Unbuffered(object): - def __init__(self, stream): - self.stream = stream - - def write(self, data): - if self.stream: - self.stream.write(data) - self.stream.flush() - - def writelines(self, datas): - if self.stream: - self.stream.writelines(datas) - self.stream.flush() - - def __getattr__(self, attr): - return getattr(self.stream, attr) - - -# Ensure stdout and stderr are line-buffered -sys.stdout = Unbuffered(sys.stdout) -sys.stderr = Unbuffered(sys.stderr) +from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError if getattr(sys, 'frozen', False): base_path = sys._MEIPASS @@ -80,7 +94,7 @@ def __getattr__(self, attr): ffmpeg_path = os.path.join(base_path, 'ffmpeg_bin_win') else: ffmpeg_path = os.path.join(base_path, 'ffmpeg_bin_mac') - + os.environ["PATH"] = ffmpeg_path + os.pathsep + os.environ["PATH"] app = FastAPI() @@ -103,7 +117,7 @@ def __getattr__(self, attr): "large": "large-v3", "tiny.en": "tiny.en", "base.en": "base.en", - "small.en": "distil-small.en", + "small.en": "small.en", "medium.en": "medium.en", "large.en": "large-v3", } @@ -161,7 +175,8 @@ def is_model_accessible(model_id, token=None, revision=None): return False except HfHubHTTPError as e: if e.response.status_code == 403: - print(f"Access denied to model '{model_id}'. You may need to accept the model's terms or provide a valid token.") + print(f"Access denied to model '{ + model_id}'. You may need to accept the model's terms or provide a valid token.") elif e.response.status_code == 401: print(f"Unauthorized access. Please check your Hugging Face access token.") else: @@ -172,6 +187,8 @@ def is_model_accessible(model_id, token=None, revision=None): return False # Function for transcribing the audio + + def inference(audio, **kwargs) -> dict: import mlx_whisper if kwargs["language"] == "auto": @@ -193,35 +210,32 @@ def inference(audio, **kwargs) -> dict: ) return output + def log_progress(seek, total_duration): # print progress as percentage print(f"Progress: {seek/total_duration*100:.0f}%") -def transcribe_audio(audio_file, kwargs, max_words, max_chars): - import stable_whisper +def transcribe_audio(audio_file, kwargs, max_words, max_chars, sensitive_words): if (platform.system() == 'Windows'): - compute_type = "int16" if kwargs["device"] == "cuda" else "int8" - model = stable_whisper.load_faster_whisper(kwargs["model"], device=kwargs["device"], compute_type=compute_type) + compute_type = "int8_float16" if kwargs["device"] == "cuda" else "int8" + model = stable_whisper.load_faster_whisper( + kwargs["model"], device=kwargs["device"], compute_type=compute_type) if kwargs["language"] == "auto": - result = model.transcribe_stable(audio_file, task=kwargs["task"], verbose=True, vad_filter=True, condition_on_previous_text=False, progress_callback=log_progress) + result = model.transcribe_stable( + audio_file, task=kwargs["task"], verbose=True, vad_filter=True, progress_callback=log_progress) else: - result = model.transcribe_stable(audio_file, language=kwargs["language"], task=kwargs["task"], verbose=True, vad_filter=True, condition_on_previous_text=False, progress_callback=log_progress) + result = model.transcribe_stable( + audio_file, language=kwargs["language"], task=kwargs["task"], verbose=True, vad_filter=True, progress_callback=log_progress) model.align(audio_file, result, kwargs["language"]) + if kwargs["align_words"]: + model.align_words(audio_file, result, kwargs["language"]) + else: - result = stable_whisper.transcribe_any(inference, audio_file, inference_kwargs = kwargs, vad=True, force_order=True) + result = stable_whisper.transcribe_any( + inference, audio_file, inference_kwargs=kwargs, vad=False) - ( - result - .ignore_special_periods() - .clamp_max() - .split_by_punctuation([(',', ' '), ',']) - .split_by_gap(.3) - .merge_by_gap(.2, max_words=2) - .split_by_punctuation([('.', ' '), '。', '?', '?']) - .split_by_length(max_words=max_words, max_chars=max_chars) - .adjust_gaps() - ) + result = modify_result(result, max_words, max_chars, sensitive_words) return result.to_dict() @@ -247,6 +261,7 @@ def merge_diarisation(transcript, diarization): new_segments = [] transcript_segments = transcript["segments"] diarization_turns = list(diarization.itertracks(yield_label=True)) + diarization_segments = [] i, j = 0, 0 while i < len(transcript_segments) and j < len(diarization_turns): @@ -275,6 +290,12 @@ def merge_diarisation(transcript, diarization): } new_segments.append(new_segment) + diarization_segments.append({ + "speaker": speaker_label, + "start": diar_start, + "end": diar_end + }) + # Add speaker info if not already present if speaker not in speakers_info: # Select a random color and remove it from the list to avoid duplicates @@ -352,14 +373,15 @@ def merge_diarisation(transcript, diarization): "id": top_speaker["id"], "percentage": round((top_speaker["subtitle_lines"] / len(transcript_segments)) * 100) }, - "segments": new_segments + "segments": new_segments, + "diarization": diarization_segments } return result -async def async_transcribe_audio(file_path, kwargs, max_words, max_chars): +async def async_transcribe_audio(file_path, kwargs, max_words, max_chars, sensitive_words): """Asynchronous transcription function.""" - return transcribe_audio(file_path, kwargs, max_words, max_chars) + return transcribe_audio(file_path, kwargs, max_words, max_chars, sensitive_words) async def async_diarize_audio(file_path, device): @@ -367,19 +389,20 @@ async def async_diarize_audio(file_path, device): return diarize_audio(file_path, device) -async def process_audio(file_path, kwargs, max_words, max_chars, device, diarize_enabled): +async def process_audio(file_path, kwargs, max_words, max_chars, sensitive_words, device, diarize_enabled): """Process audio: transcription and diarization concurrently.""" if diarize_enabled: # Run transcription and diarization concurrently transcript, diarization = await asyncio.gather( - async_transcribe_audio(file_path, kwargs, max_words, max_chars), + async_transcribe_audio( + file_path, kwargs, max_words, max_chars, sensitive_words), async_diarize_audio(file_path, device) ) # Merge diarization with transcription result = merge_diarisation(transcript, diarization) else: # Run transcription only - transcript = await async_transcribe_audio(file_path, kwargs, max_words, max_chars) + transcript = await async_transcribe_audio(file_path, kwargs, max_words, max_chars, sensitive_words) transcript["speakers"] = [] result = transcript @@ -394,10 +417,13 @@ class TranscriptionRequest(BaseModel): language: str task: str diarize: bool + align_words: bool max_words: int max_chars: int + sensitive_words: list mark_in: int + @app.post("/transcribe/") async def transcribe(request: TranscriptionRequest): try: @@ -417,9 +443,9 @@ async def transcribe(request: TranscriptionRequest): file_path = request.file_path timeline = request.timeline - language = request.language max_words = request.max_words max_chars = request.max_chars + sensitive_words = request.sensitive_words # Check if the file exists if not os.path.exists(file_path): @@ -430,26 +456,29 @@ async def transcribe(request: TranscriptionRequest): else: print(f"Processing file: {file_path}") - kwargs = {"model": model, "language": language, "task": task} + import torch + kwargs = { + "model": model, + "task": task, + "language": request.language, + "align_words": request.align_words, + "device": "cuda" if torch.cuda.is_available() else "cpu" + } # Select device - import torch if torch.cuda.is_available(): device = torch.device("cuda") - kwargs["device"] = "cuda" elif torch.backends.mps.is_available(): device = torch.device("mps") - kwargs["device"] = "mps" else: device = torch.device("cpu") - kwargs["device"] = "cpu" print(f"Using device: {device}") # Process audio (transcription and optionally diarization) try: result = await process_audio( - file_path, kwargs, max_words, max_chars, device, request.diarize + file_path, kwargs, max_words, max_chars, sensitive_words, device, request.diarize, ) result["mark_in"] = request.mark_in except Exception as e: @@ -463,8 +492,8 @@ async def transcribe(request: TranscriptionRequest): json_filename = f"{timeline}.json" json_filepath = os.path.join(request.output_dir, json_filename) try: - with open(json_filepath, 'w') as f: - json.dump(result, f, indent=4) + with open(json_filepath, 'w', encoding='utf-8') as f: + json.dump(result, f, indent=4, ensure_ascii=False) print(f"Transcription saved to: {json_filepath}") except Exception as e: print(f"Error saving JSON file: {e}") @@ -472,7 +501,7 @@ async def transcribe(request: TranscriptionRequest): status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Error saving JSON file: {e}" ) - + end_time = time.time() print(f"Transcription time: {end_time - start_time} seconds") @@ -490,6 +519,53 @@ async def transcribe(request: TranscriptionRequest): detail=f"Unexpected error: {e}" ) +# class ModifyRequest(BaseModel): +# file_path: str +# max_words: int +# max_chars: int +# sensitive_words: list + +# @app.post("/modify/") +# async def modify(request: ModifyRequest): +# result = stable_whisper.WhisperResult(request.file_path) +# result.reset() +# result = modify_result(result, request.max_words, request.max_chars, request.sensitive_words) +# whisperResult = result.to_dict() +# return {"complete": True} + + +def modify_result(result, max_words, max_chars, sensitive_words): + # matching function to identify sensitive words + def is_sensitive(word, sensitive_words): + return word.word.lower().strip() in [w.lower() for w in sensitive_words] + + # replacement function to censor the sensitive words + def censor_word(result, seg_index, word_index): + word = result[seg_index][word_index] + match = word.word.strip() + # Replace each character with an asterisk + word.word = word.word.replace(match, '*' * len(word.word.strip())) + + # Apply the custom_operation to censor sensitive words + if len(sensitive_words) > 0: + result.custom_operation( + key='', # Empty string to use the word object directly + operator=is_sensitive, # Use the is_sensitive function as the operator + value=sensitive_words, # Pass the sensitive_words list as the value + method=censor_word, # Use the censor_word function to perform the replacement + word_level=True # Operate at the word level + ) + + ( + result + .split_by_punctuation([('.', ' '), '。', '?', '?', ',', ',']) + .split_by_gap(0.4) + .merge_by_gap(0.1, max_words=3) + .split_by_length(max_words=max_words, max_chars=max_chars) + ) + + return result + class ValidateRequest(BaseModel): token: str @@ -519,9 +595,6 @@ async def validate_model(request: ValidateRequest): return {"isAvailable": True, "message": "All required models are available"} - - - @app.route('/save_image/', methods=['POST']) async def receive_text(request:Request): data = await request.json() From fde8c960e8ba82b24799005a89293456a42882c3 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Mon, 9 Dec 2024 17:41:29 -0600 Subject: [PATCH 3/8] added job status updater block --- AutoSubs-App/src-tauri/resources/AutoSubs V2.lua | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua b/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua index 07b3873..bc63320 100644 --- a/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua +++ b/AutoSubs-App/src-tauri/resources/AutoSubs V2.lua @@ -277,10 +277,16 @@ function ExportAudio(outputDir) markIn = renderSettings["MarkIn"], markOut = renderSettings["MarkOut"] } - + local renderingLoops = 0 while project:IsRenderingInProgress() do print("Rendering...") sleep(0.5) -- Check every 500 milliseconds + renderingLoops = renderingLoops + 1 + if renderingLoops > 3 then + print("Render Status") + print(project:GetRenderStatus(pid)) + renderingLoops = 0 + end end end) From 714b518d0ac45d6508f02a76eced3593a884902d Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Tue, 10 Dec 2024 20:06:53 -0600 Subject: [PATCH 4/8] Fixing Changes messed up by merging --- .gitignore | 1 + Transcription-Server/server.py | 44 ++++++++++------------------------ server-testing/server.lua | 22 ++++++++++++++++- 3 files changed, 35 insertions(+), 32 deletions(-) diff --git a/.gitignore b/.gitignore index effd130..0047731 100644 --- a/.gitignore +++ b/.gitignore @@ -22,3 +22,4 @@ sign.sh /Transcription-Server/build AutoSubs-App/package-lock.json /Mac-Package/Payload +*.pem \ No newline at end of file diff --git a/Transcription-Server/server.py b/Transcription-Server/server.py index fc13e1d..f5c6c63 100644 --- a/Transcription-Server/server.py +++ b/Transcription-Server/server.py @@ -631,32 +631,27 @@ def sanitize_filename(filename): return re.sub(r'[^\w\-_\. ]', '_', filename) -def downloadfile( url,type): - print("url",url) - print(url) - sanitized_url = sanitize_filename(url) +def OIL_LUA_call(func, otherDataName = 'Null', otherData = 'Null'): resolveAPI = "http://localhost:55010/" - # Define the headers headers = { 'Content-Type': 'application/json', } - # Define the JSON payload data = { - "func": "GetTimelineStoragePath", - # Replace with your actual storage directory + "func": func, + otherDataName: otherDataName } - # Send the POST request with JSON data response = requests.post(resolveAPI, headers=headers, json=data) - # Print the response - print("Status Code:", response.status_code) - print("Response JSON:", response.json()) + +def downloadfile( url,type): + + response = OIL_LUA_call("GetTimelineStoragePath") jsondata = response.json() getfilepath = jsondata['filePath'] - print("getfilepath",getfilepath) + # Create the directory if it doesn't exist if not os.path.exists(getfilepath): @@ -667,42 +662,29 @@ def downloadfile( url,type): file_extension = mimetypes.guess_extension(response.headers['Content-Type']) if not file_extension: file_extension = '.mp4' # Default to .mp4 if Content-Type is not available - print(len(sanitized_url)) if len(sanitized_url) > 50: sanitized_url = sanitized_url[:50] file_path = f"{getfilepath}/{sanitized_url.replace(".","")}{file_extension}" - print("file_path",file_path) with open(file_path, 'wb') as f: for chunk in response.iter_content(chunk_size=1024): if chunk: f.write(chunk) - print("Done vid") elif type == "image": response = requests.get(url) - print("fileformat",mimetypes.guess_extension(response.headers['Content-Type'])) fileformat = mimetypes.guess_extension(response.headers['Content-Type']) - print("responseURL",url) file_path = f"{getfilepath}/{sanitized_url.replace(".","")}" with open(file_path+fileformat, 'wb') as f: f.write(response.content) file_path = file_path+fileformat - print("Done img") - - # Define the headers - headers = { - 'Content-Type': 'application/json', - } - # Define the JSON payload - data = { - "func": "AddMediaToBin", - "filePath": file_path - } - # Send the POST request with JSON data - response = requests.post(resolveAPI, headers=headers, json=data) + + + response=OIL_LUA_call("AddMediaToBin", "filePath", file_path) + # Print the response print("Status Code:", response.status_code) print("Response JSON:", response.json()) + if __name__ == "__main__": uvicorn.run(app, host="localhost", port=55000, log_level="info") diff --git a/server-testing/server.lua b/server-testing/server.lua index 1070dc4..1fb5584 100644 --- a/server-testing/server.lua +++ b/server-testing/server.lua @@ -271,7 +271,10 @@ function AddSubtitles(filePath, trackIndex, templateName) end end end - +function AddMediaToBin(filePath) + local mediaStorage = resolve:GetMediaStorage() + mediaStorage:AddItemListToMediaPool(filePath) +end print("AutoSubs server is listening on port: ", port) itm.Message.Text = "Waiting for Task" while not itm.ExitButton.Checked do @@ -312,6 +315,23 @@ while not itm.ExitButton.Checked do itm.Message.Text = "Adding subtitles to timeline..." AddSubtitles(data.filePath, data.trackIndex, data.templateName) body = json.encode({ message = "Job completed" }) + elseif data.func == "GetTimelineStoragePath" then -- this is how davinchi knows what to do. Localhost:55010 + print("[AutoSubs Server] Cooked With OIL") + + print("Mounted Volume List: ", mountedVolumeList[1]) + print("Current Project: ", currentProject) + -- above is where files collected using OIL are stored mountedVolumeList[1]+currentProject + -- Prepare the body for the API request + + body = json.encode({ + message = "Job completed", + filePath = mountedVolumeList[1] .. '/' .. currentProject + }) + elseif data.func == "AddMediaToBin" then -- this is h + AddMediaToBin(data.filePath) + body = json.encode({ + message = "Job completed" + }) elseif data.func == "Exit" then break else From f11ead536dfe7a6b4af3a013e6c61725dffc29f4 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Wed, 11 Dec 2024 01:08:02 -0600 Subject: [PATCH 5/8] Improving Uninstaller --- other-scripts/uninstaller | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/other-scripts/uninstaller b/other-scripts/uninstaller index 9e0a07e..a076f5a 100755 --- a/other-scripts/uninstaller +++ b/other-scripts/uninstaller @@ -1,13 +1,12 @@ #!/bin/bash # Define the installation directory -INSTALL_DIR="/Applications/AutoSubs" -echo "Uninstalling AutoSubs..." # Paths to remove -AUTOSUBS_DIR="${INSTALL_DIR}" -LUA_SCRIPT="${INSTALL_DIR}/Scripts/Utility/AutoSubs V2.lua" +AUTOSUBS_DIR="${APPDATA}/Blackmagic Design/DaVinci Resolve/Support/Fusion/" +LUA_SCRIPT="${APPDATA}/Blackmagic Design/DaVinci Resolve/Support/Fusion/Scripts/Utility/AutoSubs V2.lua" +echo "Uninstalling AutoSubs..." # Remove the AutoSubs directory if [ -d "$AUTOSUBS_DIR" ]; then From efbf2240ceb0866f1f1f0d0bf374e4b27d75e372 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Wed, 11 Dec 2024 02:04:17 -0600 Subject: [PATCH 6/8] Loops through and delete all files with autosub in the name --- BrowserExtentions/ChromeExtention.crx | Bin 0 -> 317813 bytes other-scripts/uninstaller | 20 ++++++++------------ 2 files changed, 8 insertions(+), 12 deletions(-) create mode 100644 BrowserExtentions/ChromeExtention.crx diff --git a/BrowserExtentions/ChromeExtention.crx b/BrowserExtentions/ChromeExtention.crx new file mode 100644 index 0000000000000000000000000000000000000000..1adbe07fd8654b7887c4c1ab88b32bfd6714fc53 GIT binary patch literal 317813 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z#s*D*d%179uHKEL!$n4~uhFOgq4TNBcph7k6&=G5n=qoWD&&qQnCzmt=rvzI%>7wY3eYvO-G zO=#M{ym>{VhJlW*gN2Tc`ES5q&|DfpXJ4N{SD(QDfveAbW~~Ed*kqwqBIDHmWci#% z2JGnb$jvq2H_+GTpDg+EpIIZ$wauNN@iF9W9AanYMHLMx*biWVY{{Wf%8}x`KRXIf^)nM8o@8{$G zZ_fXl$oc;uQuvnsU!4CUq7tmA^8ZF+3&`*vB$Sncm6iUJ#Q$Yo{#lJ1-%kFvHUF+Q n6W#x|D}Mq05_aTYfPYz;+qX{9REv&|mG)_&iTL)&@7DY;=N_Ap literal 0 HcmV?d00001 diff --git a/other-scripts/uninstaller b/other-scripts/uninstaller index a076f5a..60785c0 100755 --- a/other-scripts/uninstaller +++ b/other-scripts/uninstaller @@ -1,20 +1,16 @@ #!/bin/bash -# Define the installation directory - - # Paths to remove -AUTOSUBS_DIR="${APPDATA}/Blackmagic Design/DaVinci Resolve/Support/Fusion/" -LUA_SCRIPT="${APPDATA}/Blackmagic Design/DaVinci Resolve/Support/Fusion/Scripts/Utility/AutoSubs V2.lua" echo "Uninstalling AutoSubs..." +files="${APPDATA}/Blackmagic Design/DaVinci Resolve/Support/Fusion/Scripts/Utility/" -# Remove the AutoSubs directory -if [ -d "$AUTOSUBS_DIR" ]; then - rm -rf "$AUTOSUBS_DIR" - echo "Removed directory: $AUTOSUBS_DIR" -else - echo "Directory not found: $AUTOSUBS_DIR" -fi +# Loop through each file in the directory +for item in "${files}"*; do + if [[ "$item" == *AutoSub* ]]; then + rm -rf "$item" + echo "Removed: $item" + fi +done echo "Uninstallation complete." exit 0 \ No newline at end of file From 7814a52ebd9edf05257c12786ffab7bb9e4a15b1 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Wed, 11 Dec 2024 12:06:27 -0600 Subject: [PATCH 7/8] fixing error printing --- Transcription-Server/server.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/Transcription-Server/server.py b/Transcription-Server/server.py index 8d7837e..6a558b9 100644 --- a/Transcription-Server/server.py +++ b/Transcription-Server/server.py @@ -175,8 +175,7 @@ def is_model_accessible(model_id, token=None, revision=None): return False except HfHubHTTPError as e: if e.response.status_code == 403: - print(f"Access denied to model '{ - model_id}'. You may need to accept the model's terms or provide a valid token.") + print(f"Access denied to model '{model_id}'. You may need to accept the model's terms or provide a valid token.") elif e.response.status_code == 401: print(f"Unauthorized access. Please check your Hugging Face access token.") else: From 5ac4021dd3b8a8d26991f04e4cb9f2f024e1fef0 Mon Sep 17 00:00:00 2001 From: Abdu865 <59087629+Abdu865@users.noreply.github.com> Date: Mon, 16 Dec 2024 23:25:21 -0600 Subject: [PATCH 8/8] added changes to work with LUA and PY backend --- .../ChromeExtention/background.js | 51 +++++++++++++++++-- 1 file changed, 48 insertions(+), 3 deletions(-) diff --git a/BrowserExtentions/ChromeExtention/background.js b/BrowserExtentions/ChromeExtention/background.js index 561950d..e8bb662 100644 --- a/BrowserExtentions/ChromeExtention/background.js +++ b/BrowserExtentions/ChromeExtention/background.js @@ -5,7 +5,14 @@ chrome.runtime.onInstalled.addListener(() => { title: "Send URL to Local API", contexts: ["image", "video"], // Show menu on right-clicking images or videos }); + + chrome.contextMenus.create({ + id: 'exit', + title: 'Exit', + contexts: ["image", "video"] + }); }); + function makenotifications(title, message) { chrome.notifications.create( { @@ -55,6 +62,17 @@ chrome.contextMenus.onClicked.addListener((info) => { } }); } + else if (info.menuItemId === 'exit') { + exit().then((result) => { + if (result != "true") { + console.log(result); + const title = "Failed To exit, check if localhost is running"; + const message = + "Failed to exit. Please check if the local API is running."; + makenotifications(title, message); + } + }); + } }); chrome.commands.onCommand.addListener((command) => { @@ -125,16 +143,43 @@ chrome.runtime.onMessage.addListener((message, sender, sendResponse) => { }); } }); - +function exit() { + const apiUrl = `http://localhost:55000`; // Replace with your local API endpoint + console.log("Sending exit to API:", apiUrl); + return fetch(apiUrl, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify({ + func: 'Exit', + }), + }) + .then((response) => { + if (response.ok) { + console.log("stringSent sent successfully!"); + return "true"; + } else { + console.error("Failed to send stringSent:", response.status); + return response.status; + } + }) + .catch((error) => { + console.error("Error:", error); + return error; + }); +} function sendStringToApi(apiPath,stringSent) { - const apiUrl = `http://localhost:55000/${apiPath}/`; // Replace with your local API endpoint + const apiUrl = `http://localhost:55000`; // Replace with your local API endpoint console.log("Sending stringSent to API:", apiUrl); return fetch(apiUrl, { method: "POST", headers: { "Content-Type": "application/json", }, - body: JSON.stringify({ releventString: stringSent }), + body: JSON.stringify({ + func: 'save_image', + releventString: stringSent }), }) .then((response) => { if (response.ok) {