Update app.py
Browse files
app.py
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import gradio as gr
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from transformers import pipeline
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import
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# --- Model Loading ---
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# We use the 'text2text-generation' pipeline.
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@@ -18,52 +18,132 @@ except Exception as e:
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print(f"Error loading model: {e}")
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corrector = None
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# --- Core Logic ---
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def
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if not text or not text.strip():
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return ""
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if corrector is None:
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return "Error: The model failed to load
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try:
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results = corrector(text, max_length=128)
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corrected_text = results[0]['generated_text']
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except Exception as e:
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return f"Error during processing: {str(e)}"
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# --- User Interface ---
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gr.Markdown(
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"""
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# Grammar
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Type
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"""
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)
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with gr.Row():
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with gr.Column():
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input_box = gr.Textbox(
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label="
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placeholder="Example: I has went to the store...",
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lines=
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)
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submit_btn = gr.Button("Check My Text", variant="primary")
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with gr.Column():
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lines=4,
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interactive=False
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)
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submit_btn.click(fn=correct_grammar, inputs=input_box, outputs=output_box)
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input_box.submit(fn=correct_grammar, inputs=input_box, outputs=output_box)
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if __name__ == "__main__":
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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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import difflib
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# --- Model Loading ---
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# We use the 'text2text-generation' pipeline.
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print(f"Error loading model: {e}")
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corrector = None
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# --- Helper Functions for Scoring & Visuals ---
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def diff_texts(text1, text2):
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"""
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Compares two strings and returns HTML highlighting differences.
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Red strikethrough for deletions, Green bold for insertions.
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"""
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d = difflib.SequenceMatcher(None, text1, text2)
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html = []
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for tag, i1, i2, j1, j2 in d.get_opcodes():
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if tag == 'delete':
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# Mistake: Red strikethrough
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html.append(f'<span style="color: #ef4444; text-decoration: line-through; background-color: #fee2e2; padding: 0 2px; border-radius: 2px;">{text1[i1:i2]}</span>')
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elif tag == 'insert':
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# Correction: Green bold
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html.append(f'<span style="color: #16a34a; font-weight: bold; background-color: #dcfce7; padding: 0 2px; border-radius: 2px;">{text2[j1:j2]}</span>')
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elif tag == 'replace':
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# Mistake -> Correction
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html.append(f'<span style="color: #ef4444; text-decoration: line-through; background-color: #fee2e2; padding: 0 2px; border-radius: 2px;">{text1[i1:i2]}</span>')
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html.append(f'<span style="color: #16a34a; font-weight: bold; background-color: #dcfce7; padding: 0 2px; border-radius: 2px;">{text2[j1:j2]}</span>')
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else:
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# Unchanged text
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html.append(text1[i1:i2])
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return "".join(html)
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def calculate_rubric_score(original, corrected):
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"""
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Generates a simple score and feedback based on text similarity.
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"""
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matcher = difflib.SequenceMatcher(None, original, corrected)
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similarity = matcher.ratio() # 0.0 to 1.0
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# Calculate score out of 100
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score = int(similarity * 100)
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if score == 100:
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feedback = "Perfect! Your grammar is flawless."
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color = "#16a34a" # Green
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elif score >= 90:
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feedback = "Excellent work! Just a few minor tweaks needed."
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color = "#16a34a"
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elif score >= 70:
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feedback = "Good effort. You have some grammar errors to fix."
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color = "#ca8a04" # Yellow/Orange
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else:
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feedback = "Needs improvement. Pay close attention to the corrections below."
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color = "#dc2626" # Red
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return score, feedback, color
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# --- Core Logic ---
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def evaluate_text(text):
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if not text or not text.strip():
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return ""
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if corrector is None:
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return "<p style='color:red;'>Error: The model failed to load.</p>"
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try:
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# 1. Get corrected text from AI
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results = corrector(text, max_length=128)
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corrected_text = results[0]['generated_text']
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# 2. Generate Visual Diff
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diff_html = diff_texts(text, corrected_text)
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# 3. Calculate Score
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score, feedback, color = calculate_rubric_score(text, corrected_text)
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# 4. Construct HTML Report
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report_html = f"""
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<div style="font-family: sans-serif; padding: 24px; border: 1px solid #e5e7eb; border-radius: 12px; background: white; box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);">
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<div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 20px; border-bottom: 2px solid #f3f4f6; padding-bottom: 15px;">
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<h2 style="margin: 0; color: #1f2937; font-size: 1.5em;">Teacher's Report</h2>
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<div style="background: {color}; color: white; padding: 8px 20px; border-radius: 99px; font-weight: bold; font-size: 1.2em;">
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{score}/100
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</div>
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</div>
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<div style="margin-bottom: 25px;">
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<p style="color: #6b7280; margin: 0 0 8px 0; font-size: 0.85em; text-transform: uppercase; letter-spacing: 0.1em; font-weight: bold;">Feedback</p>
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<p style="margin: 0; color: #374151; font-size: 1.1em; font-style: italic;">"{feedback}"</p>
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</div>
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<div>
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<p style="color: #6b7280; margin: 0 0 12px 0; font-size: 0.85em; text-transform: uppercase; letter-spacing: 0.1em; font-weight: bold;">Correction View</p>
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<div style="line-height: 1.8; font-size: 1.2em; color: #1f2937; background: #f9fafb; padding: 15px; border-radius: 8px; border: 1px solid #e5e7eb;">
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{diff_html}
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</div>
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</div>
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</div>
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"""
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return report_html
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except Exception as e:
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return f"<p style='color:red;'>Error during processing: {str(e)}</p>"
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# --- User Interface ---
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# CSS to hide footer and standard elements
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css = """
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footer {display: none !important;}
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"""
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with gr.Blocks(title="Grammar Evaluator", theme=gr.themes.Soft(), css=css) as demo:
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gr.Markdown(
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"""
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# 📝 AI Grammar Teacher
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Type your sentence below. The AI will grade it, cross out mistakes in <span style='color: red; text-decoration: line-through;'>red</span>, and write corrections in <span style='color: green; font-weight: bold;'>green</span>.
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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input_box = gr.Textbox(
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label="Student Writing",
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placeholder="Example: I has went to the store yesterday...",
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lines=8
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)
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submit_btn = gr.Button("Check My Text", variant="primary", size="lg")
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with gr.Column(scale=1):
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# Changed to HTML to render the colored report
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output_html = gr.HTML(label="Evaluation Report")
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submit_btn.click(fn=evaluate_text, inputs=input_box, outputs=output_html)
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input_box.submit(fn=evaluate_text, inputs=input_box, outputs=output_html)
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if __name__ == "__main__":
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demo.launch(show_api=False)
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