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| import gradio as gr | |
| from transformers import pipeline | |
| import difflib | |
| # Use a solid grammar correction + improvement model | |
| pipe = pipeline("text2text-generation", model="pszemraj/flan-t5-large-grammar-synthesis") | |
| def respond(prompt): | |
| # Generate revised essay | |
| revised = pipe(prompt, max_new_tokens=1024)[0]['generated_text'] | |
| # Generate a word-level diff | |
| diff = difflib.ndiff(prompt.split(), revised.split()) | |
| changes = [line for line in diff if line.startswith("- ") or line.startswith("+ ")] | |
| # Format explanation | |
| if changes: | |
| explanation = "\n".join(changes) | |
| else: | |
| explanation = "No significant changes were made. Minor improvements only." | |
| return f"π Revised Essay:\n\n{revised}\n\nπ οΈ Explanation of Changes:\n\n{explanation}" | |
| # Set up Gradio interface | |
| gr.Interface( | |
| fn=respond, | |
| inputs="text", | |
| outputs="text", | |
| title="Free AI Essay Bot", | |
| description="Paste an essay below. The AI will revise it and explain the changes." | |
| ).launch() | |