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from transformers import pipeline |
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import gradio as gr |
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from pytube import YouTube |
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pipe = pipeline(model="TeoJM/whisper-small-se") |
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def transcribe(audio): |
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text = pipe(audio)["text"] |
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return text |
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def get_audio_from_youtube(url): |
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streams = YouTube(url).streams.filter(only_audio=True, file_extension='mp4') |
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path = streams.first().download() |
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text = transcribe(path) |
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return text |
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with gr.Blocks() as iface: |
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with gr.TabItem("Record from microphone"): |
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filefrom_mic = gr.Audio(source="microphone", type="filepath") |
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button_mic = gr.Button("Submit audio") |
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outputs_mic = [ |
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gr.Textbox(label="Outputs"), |
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] |
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with gr.TabItem("Transcribe from a Youtube video"): |
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url = gr.Text(max_lines=1, label="Insert YouTube URL", value="https://www.youtube.com/watch?v=db2cCDUJBNk&t=1s") |
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button_yt = gr.Button("Submit video") |
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outputs_yt = [ |
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gr.Textbox(label="Outputs") |
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] |
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button_mic.click( |
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fn=transcribe, |
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inputs=filefrom_mic, |
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outputs=outputs_mic, |
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) |
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button_yt.click( |
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fn=get_audio_from_youtube, |
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inputs=url, |
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outputs=outputs_yt, |
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) |
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iface.launch() |
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