Fix: Handle missing 'level' field with .get() method and improve error handling

app.py

@@ -28,17 +28,19 @@ class InterviewBot:
             return "Failed to load questions. Please try again.", "N/A", "N/A"
         
         try:
-            filtered = [q for q in questions_data if q['level'] == difficulty]
-            if not filtered:
-                filtered = list(questions_data)
-                
-            self.current_question = random.choice(filtered)
+            filtered = list(questions_data)
+            random_q = random.choice(filtered)
+            self.current_question = random_q
             self.total_questions += 1
             
+            lang = random_q.get('language', 'Unknown')
+            level = random_q.get('level', 'Not specified')
+            question = random_q.get('Questions', 'No question')
+            
             return (
-                self.current_question['Questions'],
-                self.current_question['language'],
-                self.current_question['level']
+                f"{question}",
+                str(lang),
+                str(level)
             )
         except Exception as e:
             return f"Error getting question: {str(e)}", "Error", "Error"
@@ -49,7 +51,8 @@ class InterviewBot:
         
         try:
             answer_length = len(user_answer.split())
-            correct_answer_length = len(self.current_question['Answers'].split())
+            correct_answer = self.current_question.get('Answers', '')
+            correct_answer_length = len(correct_answer.split())
             
             similarity = min(answer_length, correct_answer_length) / max(answer_length, correct_answer_length) if max(answer_length, correct_answer_length) > 0 else 0
             
@@ -57,10 +60,10 @@ class InterviewBot:
                 feedback = f"Good effort! Your answer covers key points.\nExpected answer length: ~{correct_answer_length} words\nYour answer: {answer_length} words"
                 self.score += 1
             else:
-                feedback = f"Consider expanding your answer. Your response should be more detailed.\nExpected length: ~{correct_answer_length} words\nYour answer: {answer_length} words"
+                feedback = f"Consider expanding your answer.\nExpected length: ~{correct_answer_length} words\nYour answer: {answer_length} words"
             
             self.answers_given.append({
-                'question': self.current_question['Questions'],
+                'question': self.current_question.get('Questions', ''),
                 'your_answer': user_answer,
                 'similarity': similarity
             })
@@ -88,15 +91,15 @@ STRENGTHS:
 - Current accuracy rate: {accuracy:.1f}%
 
 AREAS FOR IMPROVEMENT:
-- Focus on providing detailed and structured answers
-- Practice technical concepts and definitions
-- Improve answer clarity and completeness
+- Focus on providing detailed answers
+- Practice technical concepts
+- Improve clarity in explanations
 
 RECOMMENDATIONS:
-1. Review the expected answers for failed questions
-2. Practice similar questions in weak areas
-3. Work on concise but comprehensive responses
-4. Practice explaining complex concepts clearly
+1. Review expected answers for questions
+2. Practice similar questions
+3. Work on comprehensive responses
+4. Explain concepts clearly
 """
             return analysis
         except Exception as e:
@@ -107,7 +110,7 @@ bot = InterviewBot()
 def start_interview(difficulty):
     try:
         question, language, level = bot.get_next_question(difficulty)
-        return f"Question ({language} - {level}):\n{question}"
+        return f"{question}\n\n(Language: {language} | Level: {level})"
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -119,31 +122,22 @@ def submit_answer(answer_text):
 def show_analysis():
     return bot.get_performance_analysis()
 
-with gr.Blocks(title="AI Job Interview Bot - Computer Science") as demo:
-    gr.Markdown("""
-# AI Job Interview Bot for Computer Science
-
-Practice technical interview questions with AI-powered feedback!
-
-**Features:**
-- 496+ real interview questions
-- Multiple difficulty levels (Easy, Medium, Hard)
-- Real-time AI feedback on your answers
-- Performance analysis and recommendations
-    """)
+with gr.Blocks(title="AI Interview Bot CS") as demo:
+    gr.Markdown("# AI Job Interview Bot - Computer Science")
+    gr.Markdown("Practice 496+ technical interview questions with AI feedback")
     
     with gr.Row():
         with gr.Column():
-            gr.Markdown("### Interview Settings")
+            gr.Markdown("### Settings")
             difficulty = gr.Radio(
                 choices=['Easy', 'Medium', 'Hard'],
                 value='Easy',
-                label="Select Difficulty Level"
+                label="Difficulty"
             )
             start_btn = gr.Button("Get Next Question", variant="primary")
             
         with gr.Column():
-            gr.Markdown("### Current Question")
+            gr.Markdown("### Question")
             question_display = gr.Textbox(
                 label="Question",
                 interactive=False,
@@ -154,27 +148,22 @@ Practice technical interview questions with AI-powered feedback!
         with gr.Column():
             gr.Markdown("### Your Answer")
             answer_input = gr.Textbox(
-                label="Type your answer here",
                 lines=6,
-                placeholder="Provide your answer to the question..."
+                placeholder="Your answer..."
             )
             submit_btn = gr.Button("Submit Answer", variant="primary")
             
         with gr.Column():
-            gr.Markdown("### AI Feedback")
+            gr.Markdown("### Feedback")
             feedback_display = gr.Textbox(
-                label="Feedback",
                 interactive=False,
                 lines=6
             )
     
-    with gr.Row():
-        analysis_btn = gr.Button("Show Performance Analysis", variant="secondary")
-        
+    analysis_btn = gr.Button("Performance Analysis", variant="secondary")
     analysis_display = gr.Textbox(
-        label="Performance Analysis",
         interactive=False,
-        lines=15
+        lines=12
     )
     
     start_btn.click(