Update app.py

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 import pytube as pt
 from transformers import pipeline
 
-MODEL_NAME = "openai/whisper-tiny"
+MODEL_NAME = "openai/whisper-large-v2"
 
 device = 0 if torch.cuda.is_available() else "cpu"
 
@@ -21,7 +21,7 @@ transcribe_token_id = all_special_ids[-5]
 translate_token_id = all_special_ids[-6]
 
 
-def transcribe(microphone, file_upload, do_translate):
+def transcribe(microphone, file_upload, task):
     warn_output = ""
     if (microphone is not None) and (file_upload is not None):
         warn_output = (
@@ -34,7 +34,7 @@ def transcribe(microphone, file_upload, do_translate):
 
     file = microphone if microphone is not None else file_upload
 
-    pipe.model.config.forced_decoder_ids = [[2, translate_token_id if do_translate else transcribe_token_id]]
+    pipe.model.config.forced_decoder_ids = [[2, transcribe_token_id if task=="transcribe" else translate_token_id]]
 
     text = pipe(file)["text"]
 
@@ -50,13 +50,13 @@ def _return_yt_html_embed(yt_url):
     return HTML_str
 
 
-def yt_transcribe(yt_url, do_translate):
+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, translate_token_id if do_translate else transcribe_token_id]]
+    pipe.model.config.forced_decoder_ids = [[2, transcribe_token_id if task=="transcribe" else translate_token_id]]
 
     text = pipe("audio.mp3")["text"]
 
@@ -70,7 +70,7 @@ mf_transcribe = gr.Interface(
     inputs=[
         gr.inputs.Audio(source="microphone", type="filepath", optional=True),
         gr.inputs.Audio(source="upload", type="filepath", optional=True),
-        gr.Checkbox(label="Translate?", value=False),
+        gr.inputs.Radio(["transcribe", "translate"], label="task", default="transcribe"),
     ],
     outputs="text",
     layout="horizontal",
@@ -86,7 +86,10 @@ mf_transcribe = gr.Interface(
 
 yt_transcribe = gr.Interface(
     fn=yt_transcribe,
-    inputs=[gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"), gr.Checkbox(label="Translate?", value=False)],
+    inputs=[
+        gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
+        gr.inputs.Radio(["transcribe", "translate"], label="task", default="transcribe")
+    ],
     outputs=["html", "text"],
     layout="horizontal",
     theme="huggingface",
@@ -102,4 +105,5 @@ yt_transcribe = gr.Interface(
 with demo:
     gr.TabbedInterface([mf_transcribe, yt_transcribe], ["Transcribe Audio", "Transcribe YouTube"])
 
-demo.launch(enable_queue=True, share=True)
+demo.launch(enable_queue=True)
+