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import gradio as gr |
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from generate import generate_response |
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with gr.Blocks(title="🧠 EvoDecoder — Lightweight Conversational AI") as demo: |
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gr.Markdown("## 🧠 Chat with EvoDecoder — Lightweight Conversational AI with Live Search (RAG)") |
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chatbot = gr.Chatbot(label="Evo Chat", type="messages") |
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msg = gr.Textbox(label="Ask Evo anything...") |
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use_web = gr.Checkbox(label="Use Web Search (RAG)?", value=True) |
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clear = gr.Button("Clear") |
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def chat_fn(user_message, chat_history, web_flag): |
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response = generate_response(user_message, use_web=web_flag) |
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chat_history.append({"role": "user", "content": user_message}) |
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chat_history.append({"role": "assistant", "content": response}) |
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return "", chat_history |
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msg.submit(chat_fn, [msg, chatbot, use_web], [msg, chatbot]) |
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clear.click(lambda: [], None, chatbot) |
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demo.launch() |
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