Update app.py

app.py

@@ -5,8 +5,8 @@ import pytube as pt
 from transformers import pipeline
 from huggingface_hub import model_info
 
-MODEL_NAME = "openai/whisper-small" #this always needs to stay in line 8 :D sorry for the hackiness
-lang = "en"
+MODEL_NAME = "openai/whisper-large-v3"  #this always needs to stay in line 8 :D sorry for the hackiness
+lang = "ja"
 
 device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
@@ -61,37 +61,31 @@ demo = gr.Blocks()
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath", optional=True),
-        gr.inputs.Audio(source="upload", type="filepath", optional=True),
+        gr.Audio(type="filepath"),
+        gr.Audio(type="filepath"),
     ],
-    outputs="text",
-    layout="horizontal",
-    theme="huggingface",
-    title="Whisper Demo: Transcribe Audio",
-    description=(
-        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
-        " of arbitrary length."
-    ),
-    allow_flagging="never",
+    outputs="text"
+)
+mf_transcribe.title = "Whisper Demo: Transcribe Audio"
+mf_transcribe.description = (
+    "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
+    f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
+    " of arbitrary length."
 )
 
 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")],
-    outputs=["html", "text"],
-    layout="horizontal",
-    theme="huggingface",
-    title="Whisper Demo: Transcribe YouTube",
-    description=(
-        "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
-        f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
-        " arbitrary length."
-    ),
-    allow_flagging="never",
+    inputs=[gr.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL")],
+    outputs=["html", "text"]
+)
+yt_transcribe.title = "Whisper Demo: Transcribe YouTube"
+yt_transcribe.description = (
+    "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
+    f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
+    " arbitrary length."
 )
 
 with demo:
     gr.TabbedInterface([mf_transcribe, yt_transcribe], ["Transcribe Audio", "Transcribe YouTube"])
 
-demo.launch(enable_queue=True)
+demo.launch() #'enable_queue=True' を削除