Update app.py

app.py

@@ -235,7 +235,6 @@
 # # http://localhost:8000/docs#/
 # # (.venv) PS C:\Users\antoi\Documents\Work_Learn\Labeling-Deploy\FastAPI> uvicorn main:app --host 0.0.0.0 --port 8000 --workers 1
 
-
 from fastapi import FastAPI, UploadFile, File, HTTPException
 import cv2
 import torch
@@ -268,8 +267,7 @@ app.add_middleware(
     CORSMiddleware,
     allow_origins=[
         "http://localhost:8080",
-        "https://labeling2-163849140747.europe-west9.run.app/",
-        "https://my-vue-app-latest-qqzd.onrender.com/",
+        "https://labeling-tools.onrender.com/",
     ],
     allow_credentials=True,
     allow_methods=["*"],  # Permet toutes les méthodes HTTP (GET, POST, etc.)
@@ -486,7 +484,7 @@ def upload_to_hf_dataset(user_name: str, video_path: str):
 
     try:
         hf_api.upload_file(
-            path_or_fileobj=video_path,
+            path_or_fileobj=video_path, #chelou
             path_in_repo=repo_path,
             repo_id=dataset_name,
             repo_type="dataset",
@@ -517,33 +515,6 @@ async def index():
         """
     )
 
-import logging
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-@app.post("/test_connection/")
-async def test_connection(user_name: str):
-    try:
-        # Log for debugging purposes
-        logger.info(f"Received user_name: {user_name}")
-        print(f"Received user_name: {user_name}")
-
-        # Simple response for testing purposes
-        response_message = f"Hello, {user_name}! The backend is reachable and working correctly."
-        
-        # Log the response message
-        logger.info(f"Returning response: {response_message}")
-        print(f"Returning response: {response_message}")
-
-        return {
-            "message": response_message
-        }
-
-    except Exception as e:
-        logger.error(f"Error during test connection: {str(e)}")
-        print(f"Error during test connection: {str(e)}")
-        raise HTTPException(status_code=500, detail=f"Failed to connect: {str(e)}")
 
 
 # Lancer l'application avec uvicorn (command line)