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import gradio as gr | |
gr.load("models/openai/whisper-large-v3").launch(share=True) | |
# import gradio as gr | |
# import whisper | |
# # Load the Whisper model | |
# model = whisper.load_model("large") | |
# def transcribe_audio(audio): | |
# # Load the audio file | |
# audio = whisper.load_audio(audio) | |
# # Transcribe the audio using Whisper | |
# result = model.transcribe(audio) | |
# return result["text"] | |
# # Create a Gradio interface with both microphone and file upload inputs | |
# interface = gr.Interface( | |
# fn=transcribe_audio, | |
# inputs=[ | |
# gr.Audio(source="microphone", type="filepath", label="Record using Microphone"), | |
# gr.Audio(source="upload", type="filepath", label="Upload Audio File") | |
# ], | |
# outputs="text", | |
# live=True, | |
# description="Speak into your microphone or upload an audio file to see the transcription in real-time." | |
# ) | |
# # Launch the Gradio app | |
# interface.launch() | |