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import argparse |
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import gradio as gr |
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from examples import examples |
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from project_settings import project_path |
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def get_args(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument( |
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"--examples_dir", |
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default=(project_path / "data/examples").as_posix(), |
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type=str |
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) |
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parser.add_argument( |
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"--trained_model_dir", |
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default=(project_path / "trained_models").as_posix(), |
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type=str |
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) |
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args = parser.parse_args() |
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return args |
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def update_model_dropdown(language: str): |
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if language in language_to_models: |
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choices = language_to_models[language] |
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return gr.Dropdown( |
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choices=choices, |
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value=choices[0], |
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interactive=True, |
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) |
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raise ValueError(f"Unsupported language: {language}") |
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def main(): |
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title = "# Automatic Speech Recognition with Next-gen Kaldi" |
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language_choices = ["Chinese"] |
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language_to_models = { |
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"Chinese": ["None"] |
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} |
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language_radio = gr.Radio( |
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label="Language", |
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choices=language_choices, |
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value=language_choices[0], |
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) |
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model_dropdown = gr.Dropdown( |
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choices=language_to_models[language_choices[0]], |
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label="Select a model", |
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value=language_to_models[language_choices[0]][0], |
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) |
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language_radio.change( |
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update_model_dropdown, |
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inputs=language_radio, |
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outputs=model_dropdown, |
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) |
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with gr.Blocks() as blocks: |
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gr.Markdown(value=title) |
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with gr.Tabs(): |
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with gr.TabItem("Upload from disk"): |
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uploaded_file = gr.Audio( |
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sources=["upload"], |
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type="filepath", |
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label="Upload from disk", |
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) |
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upload_button = gr.Button("Submit for recognition") |
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uploaded_output = gr.Textbox(label="Recognized speech from uploaded file") |
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uploaded_html_info = gr.HTML(label="Info") |
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gr.Examples( |
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examples=examples, |
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inputs=[ |
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language_radio, |
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model_dropdown, |
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decoding_method_radio, |
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num_active_paths_slider, |
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punct_radio, |
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uploaded_file, |
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], |
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outputs=[uploaded_output, uploaded_html_info], |
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fn=process_uploaded_file, |
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) |
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blocks.queue().launch() |
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return |
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if __name__ == "__main__": |
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main() |
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