Make educational content more prominent with emoji sections and clear headers

app.py

@@ -131,18 +131,33 @@ def generate_anatomy_info(query: str) -> str:
         
         prompt = f"""You are an anatomy tutor for MBBS students. Provide key educational points about: {query}
 
-Format your response as a bulleted list with 5-7 important points. Include:
-- Definition and location
-- Key structural features
-- Clinical significance
-- Related anatomical structures
+Format your response with clear sections using these exact emoji icons:
 
-Keep it concise and educational."""
+📍 **Location & Definition:**
+[Brief description of what it is and where it's located]
+
+🔍 **Key Anatomical Features:**
+- [Feature 1]
+- [Feature 2]
+- [Feature 3]
+
+🏥 **Clinical Significance:**
+- [Clinical point 1]
+- [Clinical point 2]
+
+🔗 **Related Structures:**
+- [Related structure 1]
+- [Related structure 2]
+
+💡 **Quick Memory Tip:**
+[A mnemonic or helpful tip to remember this anatomy]
+
+Keep it concise, clear, and educational. Use simple medical terminology."""
 
         payload = {
             "model": HYPERBOLIC_MODEL,
             "messages": [{"role": "user", "content": prompt}],
-            "max_tokens": 500,
+            "max_tokens": 600,
             "temperature": 0.7
         }
         
@@ -152,10 +167,18 @@ Keep it concise and educational."""
         result = response.json()
         info = result["choices"][0]["message"]["content"]
         
-        return info
+        # Add prominent header to make it stand out
+        formatted_info = f"""## 📚 Key Learning Points
+
+{info}
+
+---
+💪 **Study Tip:** Read through these points carefully, then test yourself with VIVA mode!"""
+        
+        return formatted_info
     
     except Exception as e:
-        return f"Error generating information: {str(e)}"
+        return f"⚠️ Error generating information: {str(e)}"
 
 
 def generate_viva_questions(topic: str) -> list:
@@ -234,7 +257,7 @@ def evaluate_viva_answer(question: str, student_answer: str, expected_answer: st
     Returns (feedback, score_emoji)
     """
     if not student_answer.strip():
-        return "Please provide an answer to continue.", "⏸️"
+        return "⏸️ Please provide an answer to continue.", "⏸️"
     
     try:
         headers = {
@@ -242,24 +265,32 @@ def evaluate_viva_answer(question: str, student_answer: str, expected_answer: st
             "Authorization": f"Bearer {HYPERBOLIC_API_KEY}"
         }
         
-        prompt = f"""You are an anatomy professor evaluating a student's VIVA answer.
+        prompt = f"""You are an encouraging anatomy professor evaluating a student's VIVA answer.
 
 Question: {question}
 Expected key points: {expected_answer}
 Student's answer: {student_answer}
 
-Evaluate the answer and provide:
-1. Brief feedback (2-3 sentences)
-2. What was correct
-3. What was missing (if anything)
-4. Score as: EXCELLENT, GOOD, FAIR, or NEEDS_IMPROVEMENT
+Provide feedback in this EXACT format:
 
-Be encouraging but honest. Format your response as friendly feedback."""
+[First, write one encouraging sentence praising effort or any correct elements]
+
+✅ **What was correct:**
+[List what the student got right - be specific. If nothing, write "Unfortunately, the answer didn't cover the key anatomical points."]
+
+❌ **What was missing:**
+[List what important points were missed - be specific. If nothing was missed, write "Nothing! You covered all the key points."]
+
+**Score:** [Choose: EXCELLENT, GOOD, FAIR, or NEEDS_IMPROVEMENT]
+
+[End with an encouraging message that motivates continued learning]
+
+Be warm, supportive, and constructive. Celebrate correct answers enthusiastically!"""
 
         payload = {
             "model": HYPERBOLIC_MODEL,
             "messages": [{"role": "user", "content": prompt}],
-            "max_tokens": 300,
+            "max_tokens": 400,
             "temperature": 0.6
         }
         
@@ -269,21 +300,28 @@ Be encouraging but honest. Format your response as friendly feedback."""
         result = response.json()
         feedback = result["choices"][0]["message"]["content"]
         
-        # Determine emoji based on feedback content
+        # Determine emoji and encouragement based on feedback content
         feedback_upper = feedback.upper()
         if "EXCELLENT" in feedback_upper:
             emoji = "🌟"
+            encouragement = "\n\n🎉 **Outstanding!** You're mastering this topic! Keep up the excellent work!"
         elif "GOOD" in feedback_upper:
             emoji = "✅"
+            encouragement = "\n\n👏 **Well done!** You're doing great! A bit more practice and you'll ace this!"
         elif "FAIR" in feedback_upper:
             emoji = "👍"
+            encouragement = "\n\n💪 **Good effort!** You're on the right track. Review the key points and try again!"
         else:
             emoji = "📚"
+            encouragement = "\n\n🌱 **Keep learning!** Don't worry, understanding anatomy takes practice. You've got this!"
+        
+        # Format the complete feedback
+        formatted_feedback = f"{emoji} **VIVA Feedback:**\n\n{feedback}{encouragement}\n\n---\n\n📖 **Reference Answer:**\n{expected_answer}"
         
-        return feedback, emoji
+        return formatted_feedback, emoji
     
     except Exception as e:
-        return f"Could not evaluate answer: {str(e)}", "⚠️"
+        return f"⚠️ Could not evaluate answer: {str(e)}", "⚠️"
 
 
 def process_anatomy_query(query: str) -> tuple:
@@ -370,9 +408,7 @@ def submit_viva_answer(answer, questions, current_q_idx):
         return ("VIVA Complete!", "", "", gr.update(interactive=False), current_q_idx)
     
     q = questions[current_q_idx]
-    feedback, emoji = evaluate_viva_answer(q['question'], answer, q.get('answer', ''))
-    
-    feedback_text = f"{emoji} **Feedback:**\n\n{feedback}\n\n**Expected key points:** {q.get('answer', 'N/A')}"
+    feedback_text, emoji = evaluate_viva_answer(q['question'], answer, q.get('answer', ''))
     
     # Move to next question
     next_idx = current_q_idx + 1