New version v2.0

app.py

@@ -31,9 +31,10 @@ def classify_and_ask(user_input, question_count):
     with concurrent.futures.ThreadPoolExecutor() as executor:
         future_analysis = executor.submit(lambda: analyzer(user_input))
         future_question = executor.submit(lambda: q_gen(
-            f"You are a friendly HR interviewer for an MBTI test. "
-            f"Generate ONE open-ended and meaningful question starting with 'How', 'Why', 'What', or 'When'. "
-            f"Do NOT repeat or refer to previous answers.\nUser said: {user_input}\n"
+            f"You are a professional MBTI interviewer. "
+            f"Generate ONE open-ended question starting with 'How', 'Why', 'What', or 'When'. "
+            f"Ask something new to reveal personality traits, not repeating or referencing prior answers. "
+            f"User's latest answer: {user_input}"
         ))
 
         analysis_result = future_analysis.result()
@@ -48,7 +49,6 @@ def classify_and_ask(user_input, question_count):
     raw = question_result[0]["generated_text"].replace("\n", " ").strip()
     question = raw.split("?")[0].split("Question:")[-1].strip().capitalize() + "?"
 
-    # Инкрементируем счётчик
     question_count += 1
     progress = f"{question_count}/30"
 
@@ -56,19 +56,7 @@ def classify_and_ask(user_input, question_count):
 
 
 # =========================================================
-# 3. Функция для первого вопроса при старте
-# =========================================================
-def generate_first_question():
-    result = q_gen(
-        "You are starting an MBTI interview. Ask the FIRST open-ended question "
-        "to understand the person’s personality, starting with 'How', 'Why', 'What', or 'When'."
-    )[0]["generated_text"]
-    question = result.split("?")[0].split("Question:")[-1].strip().capitalize() + "?"
-    return question, "1/30"
-
-
-# =========================================================
-# 4. Интерфейс Gradio
+# 3. Интерфейс Gradio
 # =========================================================
 with gr.Blocks(title="MBTI Interactive Interview") as demo:
     gr.Markdown("## 🧠 MBTI Personality Interviewer\n"
@@ -88,7 +76,11 @@ with gr.Blocks(title="MBTI Interactive Interview") as demo:
 
         with gr.Column(scale=1):
             out_analysis = gr.Textbox(label="📊 Анализ MBTI", lines=6)
-            out_question = gr.Textbox(label="💬 Следующий вопрос от интервьюера", lines=3)
+            out_question = gr.Textbox(
+                label="💬 Вопрос от интервьюера",
+                value="How do you usually spend your free time?",
+                lines=3
+            )
 
     btn.click(
         fn=classify_and_ask,
@@ -96,11 +88,8 @@ with gr.Blocks(title="MBTI Interactive Interview") as demo:
         outputs=[out_analysis, out_question, progress],
     )
 
-    # генерируем первый вопрос при запуске
-    demo.load(generate_first_question, outputs=[out_question, progress])
-
 # =========================================================
-# 5. Запуск
+# 4. Запуск
 # =========================================================
 if __name__ == "__main__":
     demo.launch()