Transcriptions Endpoint - Flask to Node connection

backend/index.js

@@ -3,23 +3,26 @@ import dotenv from "dotenv";
 import express from "express";
 import authRoutes from "./src/routes/authRoutes.js";
 import logRoutes from "./src/routes/logRoutes.js";
+import transcriptionRoutes from "./src/routes/transcriptionRoutes.js";
+import fileUpload from "express-fileupload";
 
 dotenv.config();
 
 const corsOptions = {
-    origin: ["http://localhost:5173"],
+  origin: ["http://localhost:5173"],
 };
 const app = express();
 const PORT = process.env.PORT || 8080;
 
 app.use(cors(corsOptions));
 app.use(express.json());
+app.use(fileUpload());
 
 //Routes
-app.use('/api/auth', authRoutes);
-app.use('/api/log', logRoutes);
+app.use("/api/auth", authRoutes);
+app.use("/api/log", logRoutes);
+app.use("/api/transcriptions", transcriptionRoutes);
 
 app.listen(PORT, () => {
-    console.log(`Server listening on ${PORT}`);
+  console.log(`Server listening on ${PORT}`);
 });
-

backend/package.json

@@ -15,9 +15,11 @@
   "description": "",
   "dependencies": {
     "@supabase/supabase-js": "^2.46.1",
+    "axios": "^1.7.8",
     "cors": "^2.8.5",
     "dotenv": "^16.4.5",
     "express": "^4.21.0",
+    "express-fileupload": "^1.5.1",
     "jsonwebtoken": "^9.0.2",
     "supabase": "^1.207.9"
   },

backend/src/routes/logRoutes.js

@@ -1,17 +1,17 @@
 import express from "express";
 import auth from "../middlewares/auth.js";
-import insertTable from "../services/cardiacSurgeryAdultService.js"
+import insertTable from "../services/cardiacSurgeryAdultService.js";
 
 const router = express.Router();
 
 router.post("/cardiacSurgeryAdultService", auth, async (req, res) => {
-    try {
-        const result = await insertTable(req, res);
-        res.json(result);
-    } catch(error) {
-        console.error("Caught Error:", error.message);
-        res.status(500).json({message: error.message});
-    }
-})
+  try {
+    const result = await insertTable(req, res);
+    res.json(result);
+  } catch (error) {
+    console.error("Caught Error:", error.message);
+    res.status(500).json({ message: error.message });
+  }
+});
 
-export default router;
+export default router;

backend/src/routes/transcriptionRoutes.js

@@ -0,0 +1,35 @@
+import axios from "axios";
+import FormData from "form-data";
+import express from "express";
+import auth from "../middlewares/auth.js";
+
+const router = express.Router();
+
+router.post("/", auth, async (req, res) => {
+  try {
+    if (!req.files || !req.files.image) {
+      return res.status(400).json({ error: "No image file provided" });
+    }
+
+    const imageFile = req.files.image;
+    const formData = new FormData();
+    formData.append("image", imageFile.data, imageFile.name);
+
+    const response = await axios.post(
+      "http://localhost:5000/transcribe",
+      formData,
+      {
+        headers: {
+          ...formData.getHeaders(),
+        },
+      }
+    );
+
+    res.json(response.data);
+  } catch (error) {
+    console.error("Caught Error:", error.message);
+    res.status(500).json({ message: error.message });
+  }
+});
+
+export default router;

transcription/app.py

@@ -1,9 +1,11 @@
 from flask import Flask, request, jsonify
+from flask_cors import CORS
 from PIL import Image
 from transformers import AutoProcessor, AutoModelForCausalLM
 import torch
 
 app = Flask(__name__)
+CORS(app)
 
 # load model and processor once during init
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
@@ -37,4 +39,4 @@ def transcribe():
         return jsonify({"error": str(e)}), 500
 
 if __name__ == "__main__":
-    app.run(debug=True)
+    app.run(host='0.0.0.0',port=5000)