Update app.py

app.py

@@ -28,7 +28,15 @@ import plotly.express as px
 import pdfplumber
 from io import BytesIO
 import base64
-import matplotlib.pyplot as plt
+
+# Handle matplotlib import with fallback
+try:
+    import matplotlib.pyplot as plt
+    MATPLOTLIB_AVAILABLE = True
+except ImportError:
+    MATPLOTLIB_AVAILABLE = False
+    plt = None
+    logging.warning("Matplotlib not available - some visualizations will be disabled")
 
 # ========== CONFIGURATION ==========
 PROFILES_DIR = "student_profiles"
@@ -304,44 +312,58 @@ def analyze_college_readiness(student_info, requirements, courses):
 
 def create_requirements_visualization_matplotlib(requirements):
     """Create matplotlib visualization for requirements completion"""
-    fig, ax = plt.subplots(figsize=(10, 6))
-    req_names = [req['code'] for req in requirements]
-    req_completion = [min(req['status'], 100) for req in requirements]
-    colors = ['#4CAF50' if x >= 100 else '#FFC107' if x > 0 else '#F44336' for x in req_completion]
-    
-    bars = ax.barh(req_names, req_completion, color=colors)
-    ax.set_xlabel('Completion (%)')
-    ax.set_title('Requirement Completion Status')
-    ax.set_xlim(0, 100)
-    
-    # Add value labels
-    for bar in bars:
-        width = bar.get_width()
-        ax.text(width + 1, bar.get_y() + bar.get_height()/2,
-                f'{width:.1f}%',
-                ha='left', va='center')
+    if not MATPLOTLIB_AVAILABLE or not requirements:
+        return None
     
-    plt.tight_layout()
-    return fig
+    try:
+        fig, ax = plt.subplots(figsize=(10, 6))
+        req_names = [req['code'] for req in requirements]
+        req_completion = [min(req['status'], 100) for req in requirements]
+        colors = ['#4CAF50' if x >= 100 else '#FFC107' if x > 0 else '#F44336' for x in req_completion]
+        
+        bars = ax.barh(req_names, req_completion, color=colors)
+        ax.set_xlabel('Completion (%)')
+        ax.set_title('Requirement Completion Status')
+        ax.set_xlim(0, 100)
+        
+        # Add value labels
+        for bar in bars:
+            width = bar.get_width()
+            ax.text(width + 1, bar.get_y() + bar.get_height()/2,
+                    f'{width:.1f}%',
+                    ha='left', va='center')
+        
+        plt.tight_layout()
+        return fig
+    except Exception as e:
+        logging.error(f"Error creating matplotlib visualization: {str(e)}")
+        return None
 
 def create_credits_distribution_visualization(requirements):
     """Create pie chart for credits distribution"""
-    fig, ax = plt.subplots(figsize=(8, 8))
-    
-    core_credits = sum(req['completed'] for req in requirements if req['code'] in ['A-English', 'B-Math', 'C-Science', 'D-Social'])
-    elective_credits = sum(req['completed'] for req in requirements if req['code'] in ['G-Electives'])
-    other_credits = sum(req['completed'] for req in requirements if req['code'] in ['E-Arts', 'F-PE'])
-    
-    credit_values = [core_credits, elective_credits, other_credits]
-    credit_labels = ['Core Subjects', 'Electives', 'Arts/PE']
-    colors = ['#3498db', '#2ecc71', '#9b59b6']
-    
-    ax.pie(credit_values, labels=credit_labels, autopct='%1.1f%%', 
-           colors=colors, startangle=90)
-    ax.set_title('Credit Distribution')
+    if not MATPLOTLIB_AVAILABLE or not requirements:
+        return None
     
-    plt.tight_layout()
-    return fig
+    try:
+        fig, ax = plt.subplots(figsize=(8, 8))
+        
+        core_credits = sum(req['completed'] for req in requirements if req['code'] in ['A-English', 'B-Math', 'C-Science', 'D-Social'])
+        elective_credits = sum(req['completed'] for req in requirements if req['code'] in ['G-Electives'])
+        other_credits = sum(req['completed'] for req in requirements if req['code'] in ['E-Arts', 'F-PE'])
+        
+        credit_values = [core_credits, elective_credits, other_credits]
+        credit_labels = ['Core Subjects', 'Electives', 'Arts/PE']
+        colors = ['#3498db', '#2ecc71', '#9b59b6']
+        
+        ax.pie(credit_values, labels=credit_labels, autopct='%1.1f%%', 
+               colors=colors, startangle=90)
+        ax.set_title('Credit Distribution')
+        
+        plt.tight_layout()
+        return fig
+    except Exception as e:
+        logging.error(f"Error creating credits visualization: {str(e)}")
+        return None
 
 # ========== TEXT EXTRACTION FUNCTIONS ==========
 def preprocess_text(text: str) -> str:
@@ -498,7 +520,7 @@ class GraduationProgress(BaseModel):
     community_service_date: str
     total_credits_earned: float
     virtual_grade: str
-    requirements: Dict[str, Dict[str, float]]
+    requirements: Dict[str, Dict[str, float]]]
     courses: List[Course]
     assessments: Dict[str, str]
 
@@ -1629,9 +1651,9 @@ def create_interface():
                     outputs=output_summary
                 ).then(
                     fn=lambda td: (
-                        gr.update(visible=True),
-                        gr.update(visible=True)
-                    ) if td and 'requirements' in td else (gr.update(visible=False), gr.update(visible=False)),
+                        gr.update(visible=MATPLOTLIB_AVAILABLE and bool(td and 'requirements' in td)),
+                        gr.update(visible=MATPLOTLIB_AVAILABLE and bool(td and 'requirements' in td))
+                    ),
                     inputs=transcript_data,
                     outputs=[req_viz_matplotlib, credits_viz]
                 ).then(