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app.py
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import gradio as gr
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import os
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import whisper
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model = whisper.load_model("base")
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def transcribe(url):
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os.system(f"yt-dlp -x {url} -o audio.m4a")
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result = model.transcribe("audio.m4a")
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return result['text']
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with gr.Blocks() as demo:
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gr.HTML(
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"""
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<p>
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Transcribes web videos to text using OpenAI's Whisper (base model).
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Works on many sites such as YouTube, Twitter, Reddit, Instagram, etc.
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</p>
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"""
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)
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url = gr.Textbox(placeholder="Enter video link here...", label="")
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button = gr.Button("Transcribe!")
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output = gr.Textbox(label="")
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button.click(transcribe, inputs=[url], outputs=[output])
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demo.launch()
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