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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load a Hugging Face model for rewriting
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rewrite_pipeline = pipeline("text2text-generation", model="t5-small")
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classification_pipeline = pipeline("text-classification", model="textattack/bert-base-uncased-imdb")
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def rewrite_and_analyze(input_text, temperature):
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# Generate rewritten text
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rewritten = rewrite_pipeline(input_text, temperature=temperature, max_length=200)
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rewritten_text = rewritten[0]['generated_text']
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# Analyze classification probabilities
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analysis = classification_pipeline(rewritten_text, return_all_scores=True)[0]
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class_probs = {item['label']: round(item['score'], 3) for item in analysis}
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return rewritten_text, class_probs
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# Gradio interface
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inputs = [
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gr.Textbox(lines=5, placeholder="Enter text here...", label="Input Text"),
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gr.Slider(0.1, 2.0, value=1.0, label="Temperature")
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]
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outputs = [
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gr.Textbox(label="Rewritten Text"),
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gr.JSON(label="Class Probabilities")
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]
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app = gr.Interface(
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fn=rewrite_and_analyze,
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inputs=inputs,
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outputs=outputs,
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title="Text Rewriter and Classifier"
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)
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app.launch()
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