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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 "ืชืžืœื•ืœ ืœื“ื•ื’ืžื”"

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="ืžืžื™ืจ ืื•ื“ื™ื• ืœืกื™ื›ื•ื"
)

if __name__ == "__main__":
    interface.launch()