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import gradio as gr |
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import asyncio |
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from core.utils import generate_first_question |
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from core.mbti_analyzer import analyze_mbti |
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from core.interviewer import generate_question |
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async def analyze_and_ask_async(user_text, prev_count, user_id="default_user"): |
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if not user_text.strip(): |
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return "⚠️ Введите ответ.", "", prev_count |
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try: |
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n = int(prev_count.split("/")[0]) + 1 |
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except Exception: |
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n = 1 |
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counter = f"{n}/30" |
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mbti_task = asyncio.create_task(analyze_mbti(user_text)) |
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interviewer_task = asyncio.create_task(generate_question(user_id, user_text)) |
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mbti_text, next_question = await asyncio.gather(mbti_task, interviewer_task) |
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return mbti_text, next_question, counter |
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with gr.Blocks(theme=gr.themes.Soft(), title="MBTI Personality Interviewer") as demo: |
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gr.Markdown( |
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"## 🧠 MBTI Personality Interviewer\n" |
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"Определи личностный тип и получи следующий вопрос от интервьюера." |
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) |
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with gr.Row(): |
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with gr.Column(scale=1): |
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inp = gr.Textbox( |
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label="Ваш ответ", |
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placeholder="Например: I enjoy working with people and organizing events.", |
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lines=4 |
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) |
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btn = gr.Button("Анализировать и задать новый вопрос", variant="primary") |
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with gr.Column(scale=1): |
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mbti_out = gr.Textbox(label="📊 Анализ MBTI", lines=4) |
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interviewer_out = gr.Textbox(label="💬 Следующий вопрос от интервьюера", lines=3) |
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progress = gr.Textbox(label="⏳ Прогресс", value="0/30") |
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btn.click(analyze_and_ask_async, inputs=[inp, progress], outputs=[mbti_out, interviewer_out, progress]) |
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demo.load(lambda: ("", generate_first_question(), "0/30"), None, [mbti_out, interviewer_out, progress]) |
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demo.launch() |
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