app.py

import gradio as gr

modelo_path = "models/proxectonos/Nos_ASR-wav2vec2-large-xlsr-53-gl-with-lm"
modelo = gr.load(modelo_path)

def cargar(audio):   
    outtext = modelo(audio)
    print(outtext)
    texto_transcrito = outtext.split("'")[1].strip()
    print(texto_transcrito)
    return texto_transcrito

with gr.Blocks(analytics_enabled=False) as demo:
    with gr.Row():
        with gr.Column():
            gr.Markdown(
                    """
                    ## <img src="https://huggingface.co/spaces/proxectonos/README/resolve/main/title-card.png" width="100%" style="border-radius: 0.75rem;">
                    """
            )
        with gr.Column():
            with gr.Row():            
                gr.Markdown(
                """
                <br/>
                
                💻 Este space mostra o modelo ASR desenvolvido polo **[Proxecto Nós](https://huggingface.co/proxectonos)**.
                <br/>
                """
                )
            with gr.Row():            
                input_audio = gr.Audio(label="Entrada", type="filepath")
            with gr.Row():            
                output_text = gr.Textbox(label="Saida")
            with gr.Row():            
                asr_button = gr.Button("Enviar", elem_id="send-btn", visible=True)


    asr_button.click(
        cargar,
        inputs=[
            input_audio,
        ],
        outputs=[output_text],
        
    )

demo.launch(debug=True)