upload

app.py

@@ -1,4 +1,5 @@
 from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import StreamingResponse
 from pydantic import BaseModel, HttpUrl
 import os
@@ -12,13 +13,21 @@ import io
 import google.generativeai as genai
 import time
 from collections import deque
-import uvicorn
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
 app = FastAPI()
 
+# Add CORS middleware
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # Allows all origins
+    allow_credentials=True,
+    allow_methods=["*"],  # Allows all methods
+    allow_headers=["*"],  # Allows all headers
+)
+
 DEEPGRAM_API_KEY = "3aaf03ba25b82a4be7deb0a33968fa47a79536be"
 deepgram = Deepgram(DEEPGRAM_API_KEY)
 
@@ -115,7 +124,7 @@ async def transcribe_video(video: VideoURL):
 
         video_description = yt.description
 
-        audio_file = audio_stream.download(output_path="temp")
+        audio_file = audio_stream.download(output_path="/tmp")
         audio_file_mp3 = audio_file + ".mp3"
         os.rename(audio_file, audio_file_mp3)
 
@@ -170,7 +179,4 @@ async def chat_with_personality(chat_message: ChatMessage):
         ]
     )
     
-    return {"response": response.choices[0].message.content.strip()}
-
-if __name__ == "__main__":
-    uvicorn.run("main:app", host="0.0.0.0", port=int(os.getenv("PORT", 8000)))
+    return {"response": response.choices[0].message.content.strip()}