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Browse files- app.py +27 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("summarization", model="google/pegasus-large")
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def main(in_text):
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print(in_text)
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answer = pipe(in_text, min_length=5, max_length=20)
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print(answer)
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return answer[0]["summary_text"]
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with gr.Blocks() as demo:
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gr.Markdown("""# Summarization Engine!""")
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with gr.Row():
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with gr.Column():
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text1 = gr.Textbox(
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label="Input Text",
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lines=1,
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)
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output = gr.Textbox(label="Output Text")
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b1 = gr.Button("Summarize!")
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b1.click(main, inputs=[text1], outputs=output)
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gr.Markdown("""#### powered by [Tassle](https://bit.ly/3LXMklV)""")
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if __name__ == "__main__":
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demo.launch(debug=True)
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requirements.txt
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gradio
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transformers
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torch
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sentencepiece
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