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Update app.py
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app.py
CHANGED
@@ -6,6 +6,14 @@ from datetime import datetime
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import io
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import base64
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from transformers import pipeline
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import warnings
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warnings.filterwarnings("ignore")
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@@ -125,7 +133,7 @@ def generate_ai_insights(student_name, subject, metrics, strengths, improvements
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print(f"AI generation error: {e}")
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return fallback_insights
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def create_performance_chart(metrics):
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"""Create a simple performance visualization"""
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categories = ['Quiz Average', 'Assignment Average', 'Participation', 'Overall']
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scores = [metrics['quiz_avg'], metrics['assignment_avg'],
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@@ -155,10 +163,192 @@ def create_performance_chart(metrics):
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bar.set_color('#E74C3C') # Red
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plt.tight_layout()
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return fig
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def
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"""Main function to generate the complete student report"""
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try:
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@@ -245,12 +435,117 @@ def generate_report(student_name, subject, quiz_scores_str, assignment_scores_st
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*Report generated by Scoreazy AI Agent | Educational Technology Solutions*
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"""
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except ValueError as e:
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return f"Error parsing scores: {str(e)}. Please ensure scores are numbers separated by commas.", None
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except Exception as e:
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return f"Error generating report: {str(e)}", None
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# Create Gradio interface
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def create_interface():
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with gr.Column(scale=1):
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chart_output = gr.Plot(label="Performance Chart")
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# Example button
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def load_example():
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return (
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@@ -327,6 +627,29 @@ def create_interface():
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"Student shows strong technical aptitude but could benefit from more consistent participation in class discussions."
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)
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example_btn = gr.Button("π Load Example Data", variant="secondary")
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example_btn.click(
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fn=load_example,
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)
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generate_btn.click(
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fn=
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inputs=[student_name, subject, quiz_scores, assignment_scores,
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participation_score, time_period, additional_notes],
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outputs=[report_output, chart_output]
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)
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gr.Markdown("""
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3. **Add participation score** using the slider
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4. **Click "Generate Report"** to create AI-powered analysis
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5. **Review the comprehensive report** with strengths, improvements, and recommendations
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### π§ Features:
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- β
Automated performance analysis
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- β
AI-generated insights and recommendations
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- β
Visual performance charts
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- β
Professional report formatting
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- β
Customizable input parameters
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""")
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return app
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import io
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import base64
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from transformers import pipeline
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from reportlab.lib.pagesizes import letter, A4
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from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, PageBreak
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from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
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from reportlab.lib.units import inch
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from reportlab.lib import colors
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from reportlab.lib.enums import TA_CENTER, TA_JUSTIFY, TA_LEFT
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import tempfile
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import os
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import warnings
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warnings.filterwarnings("ignore")
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print(f"AI generation error: {e}")
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return fallback_insights
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def create_performance_chart(metrics, save_path=None):
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"""Create a simple performance visualization"""
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categories = ['Quiz Average', 'Assignment Average', 'Participation', 'Overall']
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scores = [metrics['quiz_avg'], metrics['assignment_avg'],
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bar.set_color('#E74C3C') # Red
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plt.tight_layout()
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# Save chart if path provided
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if save_path:
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plt.savefig(save_path, dpi=300, bbox_inches='tight')
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return fig
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def create_pdf_report(student_name, subject, time_period, metrics, strengths, improvements,
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insights, participation_score, additional_notes="", chart_path=None):
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"""Generate a comprehensive PDF report"""
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# Create temporary PDF file
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temp_pdf = tempfile.NamedTemporaryFile(delete=False, suffix='.pdf')
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pdf_path = temp_pdf.name
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temp_pdf.close()
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# Create PDF document
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doc = SimpleDocTemplate(pdf_path, pagesize=A4, rightMargin=72, leftMargin=72,
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topMargin=72, bottomMargin=18)
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# Get styles
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styles = getSampleStyleSheet()
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# Custom styles
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title_style = ParagraphStyle(
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'CustomTitle',
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parent=styles['Heading1'],
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fontSize=24,
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spaceAfter=30,
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alignment=TA_CENTER,
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textColor=colors.darkblue
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)
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heading_style = ParagraphStyle(
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'CustomHeading',
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parent=styles['Heading2'],
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fontSize=16,
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spaceAfter=12,
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spaceBefore=20,
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textColor=colors.darkblue
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)
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subheading_style = ParagraphStyle(
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'CustomSubheading',
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parent=styles['Heading3'],
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fontSize=14,
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spaceAfter=8,
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spaceBefore=12,
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textColor=colors.darkgreen
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)
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body_style = ParagraphStyle(
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'CustomBody',
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parent=styles['Normal'],
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fontSize=11,
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spaceAfter=6,
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alignment=TA_JUSTIFY
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)
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# Build PDF content
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story = []
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# Title
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story.append(Paragraph("π Student Performance Report", title_style))
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story.append(Spacer(1, 12))
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# Student Information Table
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student_data = [
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['Student Name:', student_name],
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['Subject/Course:', subject],
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['Reporting Period:', time_period],
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['Report Generated:', datetime.now().strftime('%B %d, %Y')],
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['Generated By:', 'Scoreazy AI Agent']
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]
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student_table = Table(student_data, colWidths=[2*inch, 4*inch])
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student_table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (0, -1), colors.lightblue),
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('TEXTCOLOR', (0, 0), (0, -1), colors.darkblue),
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('ALIGN', (0, 0), (-1, -1), 'LEFT'),
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('FONTNAME', (0, 0), (0, -1), 'Helvetica-Bold'),
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('FONTNAME', (1, 0), (1, -1), 'Helvetica'),
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('FONTSIZE', (0, 0), (-1, -1), 12),
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('GRID', (0, 0), (-1, -1), 1, colors.black),
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('VALIGN', (0, 0), (-1, -1), 'MIDDLE'),
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]))
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story.append(student_table)
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story.append(Spacer(1, 20))
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# Performance Summary
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story.append(Paragraph("π Performance Summary", heading_style))
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performance_data = [
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['Metric', 'Score', 'Grade'],
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['Overall Performance', f"{metrics['overall_avg']}%", metrics['grade']],
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['Quiz Average', f"{metrics['quiz_avg']}%", ''],
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['Assignment Average', f"{metrics['assignment_avg']}%", ''],
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['Participation Score', f"{participation_score}%", '']
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]
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performance_table = Table(performance_data, colWidths=[2.5*inch, 1.5*inch, 1*inch])
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performance_table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (-1, 0), colors.darkblue),
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('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
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('ALIGN', (0, 0), (-1, -1), 'CENTER'),
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('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
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('FONTNAME', (0, 1), (-1, -1), 'Helvetica'),
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('FONTSIZE', (0, 0), (-1, -1), 11),
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('GRID', (0, 0), (-1, -1), 1, colors.black),
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('VALIGN', (0, 0), (-1, -1), 'MIDDLE'),
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('BACKGROUND', (0, 1), (-1, -1), colors.beige),
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]))
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story.append(performance_table)
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story.append(Spacer(1, 20))
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# Add chart if available
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if chart_path and os.path.exists(chart_path):
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story.append(Paragraph("π Performance Visualization", heading_style))
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chart_img = Image(chart_path, width=6*inch, height=3.6*inch)
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story.append(chart_img)
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story.append(Spacer(1, 20))
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# Strengths Section
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story.append(Paragraph("β
Identified Strengths", heading_style))
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for i, strength in enumerate(strengths, 1):
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story.append(Paragraph(f"<b>{i}. {strength.title()}</b>", subheading_style))
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story.append(Paragraph(f"Student demonstrates consistent performance and understanding in this area, "
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f"showing mastery of key concepts and skills.", body_style))
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story.append(Spacer(1, 8))
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# Areas for Improvement
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story.append(Paragraph("β οΈ Areas for Improvement", heading_style))
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for i, improvement in enumerate(improvements, 1):
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story.append(Paragraph(f"<b>{i}. {improvement.title()}</b>", subheading_style))
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story.append(Paragraph(f"This area presents opportunities for growth and enhanced learning outcomes. "
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f"Focused attention in this area will yield significant improvements.", body_style))
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story.append(Spacer(1, 8))
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# Recommendations
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story.append(Paragraph("π― Personalized Recommendations", heading_style))
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for i, rec in enumerate(insights['recommendations'], 1):
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story.append(Paragraph(f"<b>{i}.</b> {rec}", body_style))
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story.append(Spacer(1, 6))
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# Additional Notes
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if additional_notes:
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story.append(Spacer(1, 20))
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story.append(Paragraph("π Additional Notes", heading_style))
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story.append(Paragraph(additional_notes, body_style))
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# Next Steps
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story.append(Spacer(1, 20))
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story.append(Paragraph("π
Next Steps", heading_style))
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next_steps = [
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"Review this report with student and parent/guardian",
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"Monitor progress on recommended improvement areas over the next 2-3 weeks",
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"Schedule follow-up assessment to track improvement",
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"Continue building on identified strengths through advanced challenges",
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"Implement suggested study strategies and learning techniques"
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]
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for step in next_steps:
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story.append(Paragraph(f"β’ {step}", body_style))
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story.append(Spacer(1, 4))
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# Footer
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story.append(Spacer(1, 30))
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footer_style = ParagraphStyle(
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'Footer',
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parent=styles['Normal'],
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fontSize=10,
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alignment=TA_CENTER,
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textColor=colors.grey
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)
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story.append(Paragraph("Report generated by Scoreazy AI Agent | Educational Technology Solutions", footer_style))
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story.append(Paragraph("For questions or support, please contact your instructor", footer_style))
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# Build PDF
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doc.build(story)
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return pdf_path
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"""Main function to generate the complete student report"""
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try:
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*Report generated by Scoreazy AI Agent | Educational Technology Solutions*
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"""
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def generate_report(student_name, subject, quiz_scores_str, assignment_scores_str,
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participation_score, time_period, additional_notes=""):
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"""Main function to generate the complete student report"""
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try:
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# Parse input scores
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quiz_scores = [float(x.strip()) for x in quiz_scores_str.split(',') if x.strip()]
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assignment_scores = [float(x.strip()) for x in assignment_scores_str.split(',') if x.strip()]
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# Validate scores
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all_scores = quiz_scores + assignment_scores + [participation_score]
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if any(score < 0 or score > 100 for score in all_scores):
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return "Error: All scores must be between 0 and 100.", None, None
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# Calculate metrics
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metrics = calculate_metrics(quiz_scores, assignment_scores, participation_score)
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metrics['participation'] = participation_score
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# Analyze performance
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strengths, improvements = analyze_performance(metrics, quiz_scores, assignment_scores)
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# Generate AI insights
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460 |
+
insights = generate_ai_insights(student_name, subject, metrics, strengths, improvements)
|
461 |
+
|
462 |
+
# Create temporary file for chart
|
463 |
+
chart_temp = tempfile.NamedTemporaryFile(delete=False, suffix='.png')
|
464 |
+
chart_path = chart_temp.name
|
465 |
+
chart_temp.close()
|
466 |
+
|
467 |
+
# Create visualization
|
468 |
+
chart = create_performance_chart(metrics, save_path=chart_path)
|
469 |
+
|
470 |
+
# Generate PDF report
|
471 |
+
pdf_path = create_pdf_report(
|
472 |
+
student_name, subject, time_period, metrics, strengths, improvements,
|
473 |
+
insights, participation_score, additional_notes, chart_path
|
474 |
+
)
|
475 |
+
|
476 |
+
# Generate report text for display
|
477 |
+
report = f"""
|
478 |
+
# π Student Performance Report
|
479 |
+
|
480 |
+
**Student Name:** {student_name}
|
481 |
+
**Subject:** {subject}
|
482 |
+
**Reporting Period:** {time_period}
|
483 |
+
**Generated Date:** {datetime.now().strftime('%B %d, %Y')}
|
484 |
+
|
485 |
+
---
|
486 |
+
|
487 |
+
## π Performance Summary
|
488 |
+
- **Overall Grade:** {metrics['grade']} ({metrics['overall_avg']}%)
|
489 |
+
- **Quiz Average:** {metrics['quiz_avg']}%
|
490 |
+
- **Assignment Average:** {metrics['assignment_avg']}%
|
491 |
+
- **Participation Score:** {participation_score}%
|
492 |
+
|
493 |
+
---
|
494 |
+
|
495 |
+
## β
Identified Strengths
|
496 |
+
"""
|
497 |
+
|
498 |
+
for i, strength in enumerate(strengths, 1):
|
499 |
+
report += f"{i}. **{strength.title()}**: Demonstrates consistent performance and understanding in this area.\n"
|
500 |
+
|
501 |
+
report += "\n## β οΈ Areas for Improvement\n"
|
502 |
+
|
503 |
+
for i, improvement in enumerate(improvements, 1):
|
504 |
+
report += f"{i}. **{improvement.title()}**: Focus area for enhanced learning outcomes.\n"
|
505 |
+
|
506 |
+
report += f"""
|
507 |
+
---
|
508 |
+
|
509 |
+
## π― Recommendations
|
510 |
+
|
511 |
+
"""
|
512 |
+
for i, rec in enumerate(insights['recommendations'], 1):
|
513 |
+
report += f"{i}. {rec}\n"
|
514 |
+
|
515 |
+
if additional_notes:
|
516 |
+
report += f"""
|
517 |
+
---
|
518 |
+
|
519 |
+
## π Additional Notes
|
520 |
+
{additional_notes}
|
521 |
+
"""
|
522 |
+
|
523 |
+
report += """
|
524 |
+
---
|
525 |
+
|
526 |
+
## π
Next Steps
|
527 |
+
- Review this report with student and parent/guardian
|
528 |
+
- Monitor progress on recommended improvement areas
|
529 |
+
- Schedule follow-up assessment in 2-3 weeks
|
530 |
+
- Continue building on identified strengths
|
531 |
+
|
532 |
+
---
|
533 |
+
|
534 |
+
*Report generated by Scoreazy AI Agent | Educational Technology Solutions*
|
535 |
+
"""
|
536 |
+
|
537 |
+
# Clean up temporary chart file
|
538 |
+
try:
|
539 |
+
os.unlink(chart_path)
|
540 |
+
except:
|
541 |
+
pass
|
542 |
+
|
543 |
+
return report, chart, pdf_path
|
544 |
|
545 |
except ValueError as e:
|
546 |
+
return f"Error parsing scores: {str(e)}. Please ensure scores are numbers separated by commas.", None, None
|
547 |
except Exception as e:
|
548 |
+
return f"Error generating report: {str(e)}", None, None
|
549 |
|
550 |
# Create Gradio interface
|
551 |
def create_interface():
|
|
|
610 |
with gr.Column(scale=1):
|
611 |
chart_output = gr.Plot(label="Performance Chart")
|
612 |
|
613 |
+
# PDF Download Section
|
614 |
+
with gr.Row():
|
615 |
+
pdf_output = gr.File(label="π Download PDF Report", visible=False)
|
616 |
+
download_status = gr.Markdown("", visible=False)
|
617 |
+
|
618 |
# Example button
|
619 |
def load_example():
|
620 |
return (
|
|
|
627 |
"Student shows strong technical aptitude but could benefit from more consistent participation in class discussions."
|
628 |
)
|
629 |
|
630 |
+
def generate_and_update(student_name, subject, quiz_scores, assignment_scores,
|
631 |
+
participation_score, time_period, additional_notes):
|
632 |
+
"""Generate report and update interface with PDF"""
|
633 |
+
report, chart, pdf_path = generate_report(
|
634 |
+
student_name, subject, quiz_scores, assignment_scores,
|
635 |
+
participation_score, time_period, additional_notes
|
636 |
+
)
|
637 |
+
|
638 |
+
if pdf_path and os.path.exists(pdf_path):
|
639 |
+
return (
|
640 |
+
report,
|
641 |
+
chart,
|
642 |
+
gr.update(value=pdf_path, visible=True),
|
643 |
+
gr.update(value="β
**PDF Report Generated Successfully!** Click the download button above to save your report.", visible=True)
|
644 |
+
)
|
645 |
+
else:
|
646 |
+
return (
|
647 |
+
report,
|
648 |
+
chart,
|
649 |
+
gr.update(visible=False),
|
650 |
+
gr.update(value="β Error generating PDF report." if pdf_path is None else "", visible=bool(report))
|
651 |
+
)
|
652 |
+
|
653 |
example_btn = gr.Button("π Load Example Data", variant="secondary")
|
654 |
example_btn.click(
|
655 |
fn=load_example,
|
|
|
658 |
)
|
659 |
|
660 |
generate_btn.click(
|
661 |
+
fn=generate_and_update,
|
662 |
inputs=[student_name, subject, quiz_scores, assignment_scores,
|
663 |
participation_score, time_period, additional_notes],
|
664 |
+
outputs=[report_output, chart_output, pdf_output, download_status]
|
665 |
)
|
666 |
|
667 |
gr.Markdown("""
|
|
|
672 |
3. **Add participation score** using the slider
|
673 |
4. **Click "Generate Report"** to create AI-powered analysis
|
674 |
5. **Review the comprehensive report** with strengths, improvements, and recommendations
|
675 |
+
6. **Download PDF version** for offline viewing and sharing
|
676 |
|
677 |
### π§ Features:
|
678 |
- β
Automated performance analysis
|
679 |
- β
AI-generated insights and recommendations
|
680 |
- β
Visual performance charts
|
681 |
- β
Professional report formatting
|
682 |
+
- β
**PDF download with embedded charts**
|
683 |
- β
Customizable input parameters
|
684 |
+
|
685 |
+
### π PDF Report Includes:
|
686 |
+
- Complete performance analysis with charts
|
687 |
+
- Professional formatting for printing
|
688 |
+
- All recommendations and insights
|
689 |
+
- Visual performance graphs
|
690 |
+
- Ready for sharing with parents/educators
|
691 |
""")
|
692 |
|
693 |
return app
|