import gradio as gr
import requests
import os
import json
import sseclient

# Set up the API endpoint and key
API_URL = os.getenv("RUNPOD_API_URL")
API_KEY = os.getenv("RUNPOD_API_KEY")

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# Fixed system prompt
SYSTEM_PROMPT = "You an advanced artificial intelligence system, capable of <thinking> <reflection> and you output a brief and small to the point <output>."

def stream_response(message, history, max_tokens, temperature, top_p):
    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
    
    for human, assistant in history:
        messages.append({"role": "user", "content": human})
        messages.append({"role": "assistant", "content": assistant})
    
    messages.append({"role": "user", "content": message})
    
    data = {
        "model": "forcemultiplier/fmx-reflective-2b",
        "messages": messages,
        "max_tokens": max_tokens,
        "temperature": temperature,
        "top_p": top_p,
        "stream": True
    }
    
    try:
        response = requests.post(API_URL, headers=headers, json=data, stream=True)
        response.raise_for_status()
        client = sseclient.SSEClient(response)
        
        full_response = ""
        for event in client.events():
            if event.data != "[DONE]":
                try:
                    chunk = json.loads(event.data)
                    if 'choices' in chunk and len(chunk['choices']) > 0:
                        content = chunk['choices'][0]['delta'].get('content', '')
                        full_response += content
                        # Replace < and > with their HTML entities
                        display_content = content.replace('<', '&lt;').replace('>', '&gt;')
                        yield display_content
                except json.JSONDecodeError:
                    print(f"Failed to decode JSON: {event.data}")
        
    except requests.exceptions.RequestException as e:
        yield f"Error: {str(e)}"
    except Exception as e:
        yield f"Unexpected error: {str(e)}"

demo = gr.ChatInterface(
    stream_response,
    additional_inputs=[
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max tokens"),
        gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
    ],
)

if __name__ == "__main__":
    print(f"Starting application with API URL: {API_URL}")
    print(f"Using system prompt: {SYSTEM_PROMPT}")
    demo.launch()