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| from faster_whisper import WhisperModel | |
| import gradio as gr | |
| model_size = "small" | |
| # Run on GPU with FP16 | |
| model = WhisperModel(model_size, device="cpu", compute_type="int8") | |
| def transcribe(audio): | |
| segments, _ = model.transcribe(audio, beam_size=5) | |
| return "".join([segment.text for segment in segments]) | |
| gr.Interface( | |
| title = 'Fast Whisper for Speech Recognition', | |
| fn=transcribe, | |
| inputs=[ | |
| gr.inputs.Audio(source="microphone", type="filepath") | |
| ], | |
| outputs=[ | |
| "textbox" | |
| ] | |
| ).launch() |