import gradio as gr
from huggingface_hub import InferenceClient
import re
from config.prompts import GUIDE_PERSONA, TIME_PERIODS
from models.state import TimelineState

client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
timeline_state = TimelineState()

def get_system_message():
    current_period = TIME_PERIODS[timeline_state.get_current_period()]
    return GUIDE_PERSONA.format(
        time_period=f"{current_period['name']} ({current_period['year']})"
    )

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    messages = [{"role": "system", "content": system_message}]
    
    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})
    
    messages.append({"role": "user", "content": message})
    
    response = ""
    for message in client.chat_completion(
        messages,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        token = message.choices[0].delta.content
        response += token
        
        # Check for timeline shift marker
        if '[TIMELINE_SHIFT:' in response:
            match = re.search(r'\[TIMELINE_SHIFT:(\w+)\]', response)
            if match:
                period = match.group(1)
                if period in TIME_PERIODS:
                    timeline_state.visit_period(period)
                    # Remove the marker from response
                    response = response.replace(match.group(0), '')
                    
        yield response

demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value=get_system_message(), label="System message"),
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.9, step=0.1, label="Temperature"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p (nucleus sampling)",
        ),
    ],
    title="TimeVoyager: Your Time Travel Guide",
    description="Chat with your time travel guide to explore different historical periods! Express your interest in any era, and they'll help you visit it."
)

if __name__ == "__main__":
    demo.launch()