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Create app.py
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app.py
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import gradio as gr
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modelo_path = "models/proxectonos/Nos_ASR-wav2vec2-large-xlsr-53-gl-with-lm"
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modelo = gr.load(modelo_path)
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def cargar(audio):
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outtext = modelo(audio)
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print(outtext)
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texto_transcrito = outtext.split("'")[1].strip()
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print(texto_transcrito)
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return texto_transcrito
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with gr.Blocks(analytics_enabled=False) as demo:
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with gr.Row():
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with gr.Column():
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gr.Markdown(
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"""
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## <img src="https://huggingface.co/spaces/proxectonos/README/resolve/main/title-card.png" width="100%" style="border-radius: 0.75rem;">
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"""
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)
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with gr.Column():
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with gr.Row():
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gr.Markdown(
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"""
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<br/>
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💻 Este space mostra o modelo ASR desenvolvido polo **[Proxecto Nós](https://huggingface.co/proxectonos)**.
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<br/>
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"""
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)
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with gr.Row():
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input_audio = gr.Audio(label="Entrada", type="filepath")
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with gr.Row():
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output_text = gr.Textbox(label="Saida")
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with gr.Row():
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asr_button = gr.Button("Enviar", elem_id="send-btn", visible=True)
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asr_button.click(
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cargar,
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inputs=[
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input_audio,
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],
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outputs=[output_text],
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)
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demo.launch(debug=True)
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