Update app.py

app.py

@@ -21,50 +21,31 @@ transcribe_token_id = all_special_ids[-5]
 translate_token_id = all_special_ids[-6]
 
 
-def transcribe(microphone, task):
+def transcribe(microphone, state, task="transcribe"):
     file = microphone
 
     pipe.model.config.forced_decoder_ids = [[2, transcribe_token_id if task=="transcribe" else translate_token_id]]
 
     text = pipe(file)["text"]
 
-    return warn_output + text
+    return state + "\n" text, state + "\n" text
 
 
-def _return_yt_html_embed(yt_url):
-    video_id = yt_url.split("?v=")[-1]
-    HTML_str = (
-        f'<center> <iframe width="500" height="320" src="https://www.youtube.com/embed/{video_id}"> </iframe>'
-        " </center>"
-    )
-    return HTML_str
-
-
-def yt_transcribe(yt_url, task):
-    yt = pt.YouTube(yt_url)
-    html_embed_str = _return_yt_html_embed(yt_url)
-    stream = yt.streams.filter(only_audio=True)[0]
-    stream.download(filename="audio.mp3")
-
-    pipe.model.config.forced_decoder_ids = [[2, transcribe_token_id if task=="transcribe" else translate_token_id]]
-
-    text = pipe("audio.mp3")["text"]
-
-    return html_embed_str, text
-
-
-demo = gr.Blocks()
 
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
         gr.Audio(source="microphone", type="filepath", optional=True),
-        gr.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        gr.State()
     ],
-    outputs="text",
+    outputs=[
+        gr.Textbox(lines=15),
+        gr.State()]
+    ,
     layout="horizontal",
     theme="huggingface",
     title="Whisper Large V2: Transcribe Audio",
+    live=True,
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
         f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
@@ -76,5 +57,5 @@ mf_transcribe = gr.Interface(
 
 
 
-demo.launch(enable_queue=True)
+mf_transcribe.launch(enable_queue=True)