Update app.py
Browse files
app.py
CHANGED
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import gradio as gr
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from
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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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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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response += token
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yield response
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="Assume the role of AstroSage, a helpful chatbot designed to answer user queries about astronomy, astrophysics, and cosmology.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, 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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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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)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from llama_cpp import Llama
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llm = Llama(
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"AstroMLab/AstroSage-8B-GGUF",
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n_ctx=8192,
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n_threads=4,
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seed=42,
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f16_kv=True,
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logits_all=False,
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use_mmap=True,
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use_gpu=True
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)
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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messages = [{"role": "system", "content": system_message}]
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for user_msg, assistant_msg in history:
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if user_msg:
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messages.append({"role": "user", "content": user_msg})
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if assistant_msg:
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messages.append({"role": "assistant", "content": assistant_msg})
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messages.append({"role": "user", "content": message})
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response = llm.generate_chat(
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messages,
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max_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p
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)
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return response
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="Assume the role of AstroSage, a helpful chatbot designed to answer user queries about astronomy, astrophysics, and cosmology.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, 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(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
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]
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)
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if __name__ == "__main__":
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demo.launch()
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