ZeroGPU

app.py

@@ -130,8 +130,8 @@ mf_transcribe = gr.Interface(
         gr.Textbox(lines=1, placeholder="Prompt"),
     ],
     outputs=["text", "text"],
-    layout="horizontal",
-    theme="huggingface",
+    # layout="horizontal",
+    # theme="huggingface",
     title=f"Transcribe Audio with {os.path.basename(MODEL_NAME)}",
     description=f"Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the Kotoba-Whisper checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of arbitrary length.",
     allow_flagging="never",
@@ -144,8 +144,8 @@ file_transcribe = gr.Interface(
         gr.Textbox(lines=1, placeholder="Prompt"),
     ],
     outputs=["text", "text"],
-    layout="horizontal",
-    theme="huggingface",
+    # layout="horizontal",
+    # theme="huggingface",
     title=f"Transcribe Audio with {os.path.basename(MODEL_NAME)}",
     description=f"Transcribe long-form microphone or audio inputs with the click of a button! Demo uses Kotoba-Whisper checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of arbitrary length.",
     allow_flagging="never",
@@ -157,8 +157,8 @@ yt_transcribe = gr.Interface(
         gr.Textbox(lines=1, placeholder="Prompt"),
     ],
     outputs=["html", "text", "text"],
-    layout="horizontal",
-    theme="huggingface",
+    # layout="horizontal",
+    # theme="huggingface",
     title=f"Transcribe YouTube with {os.path.basename(MODEL_NAME)}",
     description=f"Transcribe long-form YouTube videos with the click of a button! Demo uses Kotoba-Whisper checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe video files of arbitrary length.",
     allow_flagging="never",
@@ -167,4 +167,4 @@ yt_transcribe = gr.Interface(
 with demo:
     gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
 
-demo.launch(enable_queue=True)
+demo.launch()