Update main.py

main.py

@@ -5,8 +5,6 @@ import yt_dlp
 import uuid
 import os
 from fastapi.middleware.cors import CORSMiddleware
-import gradio as gr
-from pyngrok import ngrok
 
 app = FastAPI()
 
@@ -18,11 +16,6 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-ngrok.set_auth_token("2NtE79QzuHf6t2uV7xiBni14GIx_L5YaQzN96KS61RWS9qi1")
-ngrok.kill()
-ngrok_tunnel = ngrok.connect(7860)
-print(ngrok_tunnel.public_url)
-
 # or run on GPU with INT8
 # model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
 # or run on CPU with INT8
@@ -60,7 +53,4 @@ async def transcribe_video(video_url: str, beam_size: int = 5, model_size: str =
 # print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
 
 # for segment in segments:
-#     print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
-
-interface = gr.Interface(inputs="text",outputs="text", fn=ng_path, title="X", description="XX", allow_flagging=False)
-interface.launch()
+#     print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))