Update main.py

main.py

@@ -219,22 +219,28 @@ async def generate_question(request: QuestionRequest):
         f"{history_text}\n\n"
         f"{encouragement_note}\n\n"
         f"TASK:\n"
-        f"- Ask ONE deep technical question about {session.track_name}.\n"
-        f"- Focus on: Core Concepts, Internal Architecture, Performance Optimization, or Differences (e.g., X vs Y).\n"
-        f"- The question must be challenging and suitable for a {session.difficulty} level.\n"
+        f"- Ask ONE unique technical question about {session.track_name}.\n"
+        f"- Make every interview feel different from previous interviews whenever possible.\n"
+        f"- Avoid common or overused interview questions.\n"
+        f"- Prefer questions from different technical subtopics instead of repeatedly choosing the same concept.\n"
+        f"- Vary the topic and wording naturally every time.\n"
+        f"- Junior candidates should receive only beginner-level questions.\n"
+        f"- Mid-level candidates should mostly receive intermediate questions, but may occasionally receive beginner-level questions to verify fundamentals.\n"
+        f"- Senior candidates should mostly receive advanced questions, but may occasionally receive intermediate or beginner-level questions to verify strong fundamentals.\n"
+        f"- Focus on topics appropriate for the candidate level, such as core concepts, terminology, comparisons, architecture, performance, or other relevant technical areas.\n"
         f"- DO NOT ask general or soft-skill questions. NO 'tell me about yourself'.\n"
         f"- DO NOT repeat any question from the list above.\n\n"
         f"OUTPUT RULE:\n"
         f"- Output ONLY the response text. No labels like 'Question:' or 'Feedback:'."
         f"TASK: Generate Question #{questions_count + 1} for a {session.difficulty} candidate. "
-        "Strictly follow the SCENARIO atmosphere. Do not repeat questions."
+        "Strictly follow the SCENARIO atmosphere. Make every interview unique by varying the topic and wording naturally. Avoid starting interviews with the same question."
     )
 
     try:
         output = client.chat_completion(
             [{"role": "user", "content": prompt}], 
             max_tokens=200,
-            temperature=0.8
+            temperature=1.0
         )
         raw_q = output.choices[0].message.content.strip()
         clean_q = clean_api_response(raw_q)
@@ -261,8 +267,9 @@ async def evaluate_answer(data: AnswerSubmission):
         f"- Score 0-4: Wrong or 'I don't know'.\n"
         f"- Score 5-7: Correct but shallow.\n"
         f"- Score 8-10: Detailed and precise.\n\n"
+        f"Use ONLY these emotions: Happy, Natural, Sad, Excited, Angry, Disappointed, Confused.\n"
         f"OUTPUT FORMAT (STRICT): SCORE: <0-10> || EMOTION: <Type> || FEEDBACK: <Your direct response>\n"
-        f"Note: Emotion: (Natural, Happy, Disappointed, Excited, or Confused)."
+        f"Return ONLY one emotion exactly as written above. Do not invent new emotions or synonyms."
     )
 
     try: