eDIT

app.py

@@ -1,34 +1,56 @@
 import gradio as gr
+from fastapi import FastAPI, Request
 from youtube_transcript_api import YouTubeTranscriptApi
 from youtube_transcript_api.proxies import WebshareProxyConfig
+from pydantic import BaseModel
 
-# Initialize the YouTubeTranscriptApi with proxy configuration
+# FastAPI app
+app = FastAPI()
+
+# Initialize YouTubeTranscriptApi with proxy
 ytt_api = YouTubeTranscriptApi(
     proxy_config=WebshareProxyConfig(
-        proxy_username="tlaukrdr",  # Replace with your proxy username
-        proxy_password="mc1aumn9xbhb"  # Replace with your proxy password
+        proxy_username="tlaukrdr",  # Replace with real credentials
+        proxy_password="mc1aumn9xbhb"
     )
 )
 
-# Function to fetch and format YouTube transcript using the video ID
+# API input schema
+class VideoIDInput(BaseModel):
+    video_id: str
+
+# API Endpoint
+@app.post("/api/transcript")
+async def get_transcript(payload: VideoIDInput):
+    try:
+        transcript_obj = ytt_api.fetch(payload.video_id)
+        full_text = " ".join([snippet.text for snippet in transcript_obj.snippets])
+        return {"transcript": full_text}
+    except Exception as e:
+        return {"error": str(e)}, 500
+
+# Gradio function
 def fetch_transcript(video_id: str):
     try:
-        # Fetch transcript
         transcript_obj = ytt_api.fetch(video_id)
-        # Extract and join only the text fields from FetchedTranscriptSnippet objects
         full_text = " ".join([snippet.text for snippet in transcript_obj.snippets])
         return full_text
     except Exception as e:
         return f"Error fetching transcript: {str(e)}"
 
-
-# Gradio Interface
-iface = gr.Interface(
+# Gradio UI
+demo = gr.Interface(
     fn=fetch_transcript,
     inputs=gr.Textbox(label="Enter YouTube Video ID"),
     outputs=gr.Textbox(label="Transcript"),
-    live=True
+    live=True,
+    title="YouTube Transcript Fetcher"
 )
 
-# Launch the Gradio app
-iface.launch()
+# Mount Gradio at root
+app = gr.mount_gradio_app(app, demo, path="/")
+
+# Run Locally
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

@@ -1,2 +1,5 @@
+fastapi
 gradio
-youtube_transcript_api
+uvicorn
+pydantic
+youtube-transcript-api