app.py

import gradio as gr
from llama_cpp import Llama
from huggingface_hub import hf_hub_download
import random

# Initialize model
model_path = hf_hub_download(
    repo_id="AstroMLab/AstroSage-8B-GGUF",
    filename="AstroSage-8B-Q8_0.gguf"
)

llm = Llama(
    model_path=model_path,
    n_ctx=2048,
    n_threads=4,
    chat_format="llama-3",
    seed=42,
    f16_kv=True,
    logits_all=False,
    use_mmap=True,
    use_gpu=True
)

# Placeholder responses for when context is empty
GREETING_MESSAGES = [
    "Greetings! I am AstroSage, your guide to the cosmos. What would you like to explore today?",
    "Welcome to our cosmic journey! I am AstroSage. How may I assist you in understanding the universe?",
    "AstroSage here. Ready to explore the mysteries of space and time. How may I be of assistance?",
    "The universe awaits! I'm AstroSage. What astronomical wonders shall we discuss?",
]

def user(user_message, history):
    """Add user message to chat history."""
    if history is None:
        history = []
    return "", history + [{"role": "user", "content": user_message}]

def bot(history):
    """Generate and stream the bot's response."""
    if not history:
        history = []
        
    # Prepare the messages for the model
    messages = [
        {
            "role": "system",
            "content": "You are AstroSage, an intelligent AI assistant specializing in astronomy, astrophysics, and space science. You provide accurate, scientific information while making complex concepts accessible. You're enthusiastic about space exploration and maintain a sense of wonder about the cosmos."
        }
    ]
    
    # Add chat history
    for message in history[:-1]:  # Exclude the last message which we just added
        messages.append({"role": message["role"], "content": message["content"]})
    
    # Add the current user message
    messages.append({"role": "user", "content": history[-1]["content"]})
    
    # Start generating the response
    history.append({"role": "assistant", "content": ""})
    
    # Stream the response
    response = llm.create_chat_completion(
        messages=messages,
        max_tokens=512,
        temperature=0.7,
        top_p=0.95,
        stream=True
    )
    
    for chunk in response:
        if chunk and "content" in chunk["choices"][0]["delta"]:
            history[-1]["content"] += chunk["choices"][0]["delta"]["content"]
            yield history

def initial_greeting():
    """Return properly formatted initial greeting."""
    return [{"role": "assistant", "content": random.choice(GREETING_MESSAGES)}]

# Custom CSS for a space theme
custom_css = """
#component-0 {
    background-color: #1a1a2e;
    border-radius: 15px;
    padding: 20px;
}
.dark {
    background-color: #0f0f1a;
}
.contain {
    max-width: 1200px !important;
}
"""

# Create the Gradio interface
with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="indigo", neutral_hue="slate")) as demo:
    gr.Markdown(
        """
        # 🌌 AstroSage: Your Cosmic AI Companion
        
        Welcome to AstroSage, an advanced AI assistant specializing in astronomy, astrophysics, and cosmology. 
        Powered by the AstroSage-8B model, I'm here to help you explore the wonders of the universe!
        
        ### What Can I Help You With?
        - 🪐 Explanations of astronomical phenomena
        - 🚀 Space exploration and missions
        - ⭐ Stars, galaxies, and cosmology
        - 🌍 Planetary science and exoplanets
        - 📊 Astrophysics concepts and theories
        - 🔭 Astronomical instruments and observations
        
        Just type your question below and let's embark on a cosmic journey together!
        """
    )
    
    chatbot = gr.Chatbot(
        label="Chat with AstroSage",
        bubble_full_width=False,
        show_label=True,
        height=450,
        type="messages"
    )
    
    with gr.Row():
        msg = gr.Textbox(
            label="Type your message here",
            placeholder="Ask me anything about space and astronomy...",
            scale=9
        )
        clear = gr.Button("Clear Chat", scale=1)
    
    # Example questions for quick start
    gr.Examples(
        examples=[
            "What is a black hole and how does it form?",
            "Can you explain the life cycle of a star?",
            "What are exoplanets and how do we detect them?",
            "Tell me about the James Webb Space Telescope.",
            "What is dark matter and why is it important?"
        ],
        inputs=msg,
        label="Example Questions"
    )
    
    # Set up the message chain with streaming
    msg.submit(
        user,
        [msg, chatbot],
        [msg, chatbot],
        queue=False
    ).then(
        bot,
        chatbot,
        chatbot
    )
    
    # Clear button functionality
    clear.click(lambda: None, None, chatbot, queue=False)
    
    # Initial greeting
    demo.load(initial_greeting, None, chatbot, queue=False)

# Launch the app
if __name__ == "__main__":
    demo.launch()