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| import gradio as gr | |
| from tts import transcribe_audio | |
| from llm import analyze_snippet | |
| def pipeline(audio_path): | |
| """Pipeline to comunicate tts and kg modules""" | |
| transcription = transcribe_audio(audio_path) | |
| bullet_points = analyze_snippet(str(transcription)) | |
| return f"Game Analysis:\n {bullet_points}" | |
| iface = gr.Interface( | |
| fn=pipeline, | |
| inputs=gr.Audio(sources="microphone", type="filepath", format="wav"), | |
| outputs="text", | |
| title="Sports-Analyzer", | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() | |