Upload 2 files

app.py

@@ -7,29 +7,6 @@ from youtube_transcript_api import YouTubeTranscriptApi
 from youtube_transcript_api.proxies import WebshareProxyConfig
 from gtts import gTTS
 
-# ---- FastAPI Proxy Setup ----
-from fastapi import FastAPI, Request
-from fastapi.responses import StreamingResponse
-import httpx
-import uvicorn
-
-fastapi_app = FastAPI()
-
-@fastapi_app.get("/proxy")
-async def proxy(url: str):
-    async with httpx.AsyncClient() as client:
-        r = await client.get(url, timeout=30.0, stream=True)
-        if r.status_code != 200:
-            return StreamingResponse(content=r.aiter_bytes(), status_code=r.status_code)
-        headers = {
-            "Content-Type": r.headers.get("content-type", "application/octet-stream"),
-            "Access-Control-Allow-Origin": "*"
-        }
-        return StreamingResponse(r.aiter_bytes(), headers=headers)
-
-
-# ---- Your Existing Gradio App Below ----
-
 # Initialize YouTubeTranscriptApi
 proxy_username = os.environ.get('WEBSHARE_PROXY_UN')
 proxy_password = os.environ.get('WEBSHARE_PROXY_PW')
@@ -432,13 +409,7 @@ demo = gr.Interface(
     description="Enter a YouTube video ID and select a language to get the translated transcript and speech."
 )
 
-# ---- Launch Both Gradio and Proxy Server ----
-import multiprocessing
-
-def run_fastapi():
-    uvicorn.run("app:fastapi_app", host="0.0.0.0", port=5001, log_level="info")
+# ---- Launch Gradio ----
 
 if __name__ == "__main__":
-    p = multiprocessing.Process(target=run_fastapi, daemon=True)
-    p.start()
     demo.launch()

requirements.txt

@@ -6,7 +6,4 @@ gTTS
 requests
 torch
 sentencepiece
-accelerate
-fastapi
-uvicorn
-httpx
+accelerate