up

app.py

@@ -1 +1 @@
-run_demo_openai_merged.py
+run_demo_openai.py

run_demo_openai.py

@@ -144,8 +144,8 @@ demo = gr.Blocks()
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Record"),
-        gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Upload File"),
+        gr.inputs.Audio(source="microphone", type="filepath", label="Record", optional=True),
+        gr.inputs.Audio(source="upload", type="filepath", label="Upload File", optional=True),
         gr.Checkbox(label="With timestamps?", value=True),
     ],
     # outputs="text",
@@ -154,7 +154,7 @@ mf_transcribe = gr.Interface(
     theme="huggingface",
     title="Whisper French Demo 🇫🇷 : Transcribe Audio",
     description=(
-        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
+        "Transcribe long-form microphone or audio inputs with the click of a button!\n\nDemo uses the the fine-tuned"
         f" checkpoint [{DEFAULT_MODEL_NAME}](https://huggingface.co/{DEFAULT_MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
         " of arbitrary length."
     ),
@@ -176,7 +176,7 @@ yt_transcribe = gr.Interface(
     theme="huggingface",
     title="Whisper French Demo 🇫🇷 : Transcribe YouTube",
     description=(
-        "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
+        "Transcribe long-form YouTube videos with the click of a button!\n\nDemo uses the the fine-tuned checkpoint:"
         f" [{DEFAULT_MODEL_NAME}](https://huggingface.co/{DEFAULT_MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
         " arbitrary length."
     ),