Update app.py

app.py

@@ -1,25 +1,18 @@
-# -*- coding: utf-8 -*-
-"""app.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1SLY6vFgJGYJxXCiJWtRo3Qxag5r_Y4K7
-"""
 import os
 import gradio as gr
 from transformers import pipeline
 from pytube import YouTube
 
 
-pipe = pipeline(model="Manbearpig01/whisper-small-hi")  # change to "your-username/the-name-you-picked" 加
+pipe = pipeline(model="Manbearpig01/whisper-small-hi") 
+#https://www.youtube.com/watch?v=IagbSHyZ5iA
 
 
 def yt(link):
     yt = YouTube(link)
     stream = yt.streams.filter(only_audio=True)[0]
-    stream.download(filename="audio.mp3")
-    text = pipe("audio.mp3")["text"]
+    stream.download(filename="audio.mp4")
+    text = pipe("audio.mp4")["text"]
     return text
 
 def transcribe(audio):
@@ -40,13 +33,16 @@ iface = gr.Interface(
 yt = gr.Interface(
     fn=yt,
     inputs=[gr.inputs.Textbox(lines=1, label="Youtube URL")],
-    outputs=["html", "text"],
+    outputs=["text"],
     title="Whisper Small Swedish-Youtube",
-    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model. A Youtube URL for recognize."
+    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model. A Youtube URL for recognize. Suggest link1: https://www.youtube.com/watch?v=IagbSHyZ5iA link2:https://www.youtube.com/watch?v=gjvOMoDf4-4"
+
 
 )
 
 with demo:
     gr.TabbedInterface([iface, yt], ["Transcribe Audio", "Transcribe YouTube"])
 
-demo.launch(enable_queue=True)
+
+
+demo.launch(enable_queue=True)