New model. Qwen/Qwen2.5-1.5B-Instruct. v1.2

app.py

@@ -70,37 +70,38 @@ def generate_first_question():
     return "What do you usually enjoy doing in your free time?"
 
 def analyze_and_ask(user_text, prev_count):
-    """
-    Основная логика: анализ MBTI + генерация нового вопроса.
-    """
     if not user_text.strip():
         return "⚠️ Введите ответ.", "", prev_count
 
-    # Прогресс
     try:
         n = int(prev_count.split("/")[0]) + 1
     except Exception:
         n = 1
     counter = f"{n}/30"
 
-    # Анализ MBTI
     res = mbti_pipe(user_text)[0]
     res_sorted = sorted(res, key=lambda x: x["score"], reverse=True)
     mbti_text = "\n".join([f"{r['label']} → {r['score']:.3f}" for r in res_sorted[:3]])
 
-    # Промпт для Qwen — чёткий, чтобы не возвращала инструкцию
+    # Новый, уточнённый промпт
     prompt = (
-        f"User said: '{user_text}'.\n"
-        "Generate exactly one short, natural, open-ended question about personality, emotions, or preferences. "
-        "Avoid meta explanations, instructions, or introductions. "
-        "Output only the plain question text without quotes or notes."
+        f"User said: '{user_text}'. "
+        "Generate one natural, open-ended question that starts with 'What', 'Why', 'How', or 'When'. "
+        "Avoid rephrasing or quoting the user's text. "
+        "Do NOT explain what you are doing or include any instructions. "
+        "Output only the question itself."
     )
 
-    # Генерация нового вопроса
     raw = llm_pipe(prompt)[0]["generated_text"]
-    question = clean_question(raw)
+    cleaned = clean_question(raw)
+
+    # Если вопрос не начинается с нужного слова — создаём fallback
+    valid_starts = ("What", "Why", "How", "When")
+    if not cleaned.startswith(valid_starts):
+        cleaned = "What motivates you to do the things you enjoy most?"
+
+    return mbti_text, cleaned, counter
 
-    return mbti_text, question, counter
 
 # ===============================================================
 # 3️⃣ Интерфейс Gradio