| import gradio as gr | |
| import openai | |
| def summarize_audio(audio_file): | |
| transcript = transcribe_audio(audio_file) | |
| summary = create_summary(transcript) | |
| return summary | |
| def transcribe_audio(audio_file): | |
| return "ืชืืืื ืืืืืื" | |
| def create_summary(transcript): | |
| response = openai.Completion.create( | |
| engine="text-davinci-003", | |
| prompt=f"Please summarize the following text:\n\n{transcript}", | |
| max_tokens=100 | |
| ) | |
| return response['choices'][0]['text'].strip() | |
| interface = gr.Interface( | |
| fn=summarize_audio, | |
| inputs=gr.Audio(source="upload", type="file"), | |
| outputs="text", | |
| title="ืืืืจ ืืืืื ืืกืืืื" | |
| ) | |
| if __name__ == "__main__": | |
| interface.launch() | |