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import gradio as gr |
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from huggingface_hub import InferenceClient |
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client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct") |
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def respond( |
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message, |
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history: list[tuple[str, str]], |
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system_message, |
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max_tokens, |
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temperature, |
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top_p, |
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): |
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messages = [{"role": "system", "content": system_message}] |
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for val in history: |
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if val[0]: |
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messages.append({"role": "user", "content": val[0]}) |
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if val[1]: |
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messages.append({"role": "assistant", "content": val[1]}) |
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messages.append({"role": "user", "content": message}) |
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response = "" |
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for message in client.chat_completion( |
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messages, |
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max_tokens=max_tokens, |
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stream=True, |
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temperature=temperature, |
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top_p=top_p, |
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): |
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token = message.choices[0].delta.content |
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response += token |
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yield response |
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opq = """ |
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.gradio-container h1 { |
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color: #6495ED !important; |
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display: flex; |
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align-items: center; |
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} |
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""" |
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custom_html = """ |
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<div> |
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<h1> Welcome to Rxple Chat Bot 馃挰</h1> |
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</div> |
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""" |
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combined_description = """ |
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Ghar ka ai this AI does not store any data you can use as much you want without logging<br> |
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-- Follow us on [Instagram](https://www.instagram.com/khellon_patel_21) -- |
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""" |
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demo = gr.ChatInterface( |
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respond, |
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title=custom_html, |
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description=combined_description, |
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additional_inputs=[ |
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"), |
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gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Max new tokens"), |
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
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gr.Slider( |
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minimum=0.1, |
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maximum=1.0, |
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value=0.95, |
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step=0.05, |
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label="Top-p (nucleus sampling)", |
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), |
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], |
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css=opq |
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) |
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if __name__ == "__main__": |
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demo.launch(share=True) |