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import gradio as gr |
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from llama_cpp import Llama |
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from huggingface_hub import hf_hub_download |
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import random |
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model_path = hf_hub_download( |
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repo_id="AstroMLab/AstroSage-8B-GGUF", |
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filename="AstroSage-8B-Q8_0.gguf" |
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) |
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llm = Llama( |
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model_path=model_path, |
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n_ctx=2048, |
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n_threads=4, |
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chat_format="llama-3", |
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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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GREETING_MESSAGES = [ |
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"Greetings! I am AstroSage, your guide to the cosmos. What would you like to explore today?", |
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"Welcome to our cosmic journey! I am AstroSage. How may I assist you in understanding the universe?", |
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"AstroSage here. Ready to explore the mysteries of space and time. How may I be of assistance?", |
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"The universe awaits! I'm AstroSage. What astronomical wonders shall we discuss?", |
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] |
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def get_random_greeting(): |
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return random.choice(GREETING_MESSAGES) |
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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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try: |
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response = llm.create_chat_completion( |
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messages=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["choices"][0]["message"]["content"] |
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except Exception as e: |
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return f"Error: {e}" |
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def clear_context(): |
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return [], get_random_greeting() |
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with gr.Blocks() as demo: |
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gr.HTML("<div class='header-text'>π AstroSage-LLAMA-3.1-8B</div><div class='subheader'>Your AI Guide to the Cosmos</div>") |
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chatbot = gr.Chatbot(height=400) |
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msg = gr.Textbox(placeholder="Ask about astronomy, astrophysics, or cosmology...") |
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with gr.Accordion("Advanced Settings", open=False) as advanced_settings: |
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system_msg = gr.Textbox( |
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value="You are AstroSage, a highly knowledgeable AI assistant specialized in astronomy, astrophysics, and cosmology. Provide accurate, engaging, and educational responses about space science and the universe.", |
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label="System Message", |
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lines=3 |
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) |
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max_tokens = gr.Slider(1, 2048, value=512, step=1, label="Max Tokens") |
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temperature = gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature") |
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top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p") |
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with gr.Row(): |
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clear = gr.Button("π New Chat") |
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submit = gr.Button("Send π", variant="primary") |
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def handle_submit(message, history, system_message, max_tokens, temperature, top_p): |
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response = respond(message, history, system_message, max_tokens, temperature, top_p) |
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history.append((message, response)) |
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return history, "" |
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submit.click( |
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handle_submit, |
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[msg, chatbot, system_msg, max_tokens, temperature, top_p], |
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[chatbot, msg] |
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) |
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clear.click(clear_context, [], [chatbot, msg]) |
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if __name__ == "__main__": |
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demo.launch() |
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