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Runtime error
| from transformers import pipeline | |
| model_id = 'carlfeynman/whisper-small-tamil' | |
| pipe = pipeline('automatic-speech-recognition', model=model_id) | |
| def transcribe_speech(filepath): | |
| pred = pipe( | |
| filepath, | |
| max_new_tokens=256, | |
| generate_kwargs={ | |
| "task": "transcribe", | |
| "language": "tamil", | |
| }, | |
| chunk_length_s=30, | |
| batch_size=8, | |
| ) | |
| return pred['text'] | |
| import gradio as gr | |
| demo = gr.Blocks() | |
| mic_transcribe = gr.Interface( | |
| fn=transcribe_speech, | |
| inputs=gr.Audio(source='microphone',type='filepath'), | |
| outputs="textbox" | |
| ) | |
| file_transcribe = gr.Interface( | |
| fn=transcribe_speech, | |
| inputs=gr.Audio(source='upload', type='filepath'), | |
| outputs="textbox" | |
| ) | |
| with demo: | |
| gr.TabbedInterface( | |
| [mic_transcribe, file_transcribe], | |
| ["Transcribe Microphone", "Transcribe Audio File"], | |
| ) | |
| demo.launch(share=True) | |