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import gradio as gr |
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from transformers import pipeline |
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model = pipeline("conversational", model="facebook/blenderbot-400M-distill") |
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def qna_ai(question, chat_history): |
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formatted_history = "\n".join([f"User: {q}\nAI: {a}" for q, a in chat_history]) |
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prompt = f"{formatted_history}\nUser: {question}\nAI:" |
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response = model(prompt) |
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ai_answer = response.generated_responses[-1] |
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chat_history.append((question, ai_answer)) |
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return "", chat_history |
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def clear_chat(): |
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return [], [] |
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with gr.Blocks(title="छात्र सहायक AI", theme=gr.themes.Soft()) as demo: |
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gr.Markdown("# 🎓 छात्रों के लिए प्रश्न-उत्तर AI") |
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gr.Markdown("यहां अपना प्रश्न लिखें और AI आपको उत्तर देगा!") |
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chatbot = gr.Chatbot(label="चैट", height=400) |
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msg = gr.Textbox(label="प्रश्न", placeholder="यहां लिखें...") |
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clear = gr.Button("साफ़ करें") |
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msg.submit(qna_ai, [msg, chatbot], [msg, chatbot]) |
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clear.click(clear_chat, None, chatbot) |
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demo.launch() |
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