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Update app.py
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app.py
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import gradio as gr
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import sys
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import asyncio
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sys
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from voice_chat import respond
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def
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interface = gr.Interface(
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fn=voice_chat,
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inputs=gr.Audio(type="filepath"),
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outputs=gr.Audio(),
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title="Voice Chat with AI Assistant",
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description="
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examples=None,
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theme="default"
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)
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import gradio as gr
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import asyncio
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import sys
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import os
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from pydub import AudioSegment
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sys.path.append('/content/voice_chat') # Replace with the actual path
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from voice_chat import respond
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def process_audio(audio):
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if audio is None:
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return None
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if isinstance(audio, tuple): # Gradio returns a tuple (path, sampling_rate)
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audio_path = audio[0]
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else:
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audio_path = audio
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# Ensure the file exists
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if not os.path.exists(audio_path):
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raise FileNotFoundError(f"Audio file not found: {audio_path}")
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# Convert audio to wav if it's not already
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if not audio_path.endswith('.wav'):
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audio = AudioSegment.from_file(audio_path)
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wav_path = audio_path.rsplit('.', 1)[0] + '.wav'
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audio.export(wav_path, format="wav")
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audio_path = wav_path
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return audio_path
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async def voice_chat(audio):
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try:
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processed_audio = process_audio(audio)
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if processed_audio is None:
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return None
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response_audio = await respond(processed_audio)
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return response_audio
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except Exception as e:
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print(f"Error in voice_chat: {str(e)}")
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return None
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interface = gr.Interface(
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fn=lambda audio: asyncio.run(voice_chat(audio)),
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inputs=gr.Audio(type="filepath"),
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outputs=gr.Audio(),
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title="Voice Chat with AI Assistant",
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description="Upload an audio file or record using the microphone, and the AI will respond with voice.",
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examples=None,
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theme="default"
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)
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