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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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if isinstance(audio, str):
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return (audio)
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else:
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return "Processed audio output"
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with gr.Blocks() as iface:
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with gr.Row():
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audio_in = gr.Audio(source="microphone", type="filepath")
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file_in = gr.File(file_type="audio")
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import gradio as gr
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from sad_tf import *
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seg = Segmenter(ffmpeg_path="ffmpeg",model_path="keras_speech_music_noise_cnn.hdf5" , device="cpu")
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def transcribe_audio(audio_file):
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isig = seg(audio_file)
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return isig
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# Define the Gradio interface
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interface = gr.Interface(
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fn=transcribe_audio,
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inputs=gr.Audio(type="filepath"), # Removed 'source="microphone"'
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outputs="text",
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title="Audio Transcription",
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description="Upload an audio file or record audio to get the transcription."
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)
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# Launch the Gradio app
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interface.launch()
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