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Update app.py
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app.py
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@@ -1,15 +1,15 @@
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!pip install transformers
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!pip install gradio
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import gradio as gr
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from transformers import pipeline
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summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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def summarize_text(text):
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summary = summarizer(text, max_length=200, min_length=100, do_sample=False)
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return summary[0]['summary_text']
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demo = gr.Interface(
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fn=summarize_text,
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inputs=gr.Textbox(placeholder="Enter your text here", label="Input Text"),
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@@ -18,5 +18,6 @@ demo = gr.Interface(
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description="This chatbot takes a long text as input and returns a summary."
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)
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demo.launch()
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import gradio as gr
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from transformers import pipeline
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# Initialize the summarizer pipeline
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summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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# Define the summarization function
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def summarize_text(text):
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summary = summarizer(text, max_length=200, min_length=100, do_sample=False)
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return summary[0]['summary_text']
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# Create the Gradio interface
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demo = gr.Interface(
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fn=summarize_text,
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inputs=gr.Textbox(placeholder="Enter your text here", label="Input Text"),
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description="This chatbot takes a long text as input and returns a summary."
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)
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# Launch the interface
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demo.launch()
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