import gradio as gr
import requests
import json
import os

"""
Using Together AI API for chat completions
"""
TOGETHER_API_KEY = os.getenv("TOGETHER_API_KEY")
if not TOGETHER_API_KEY:
    raise ValueError("TOGETHER_API_KEY environment variable is not set")

TOGETHER_API_URL = "https://api.together.xyz/v1/chat/completions"


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})

    headers = {
        "Authorization": f"Bearer {TOGETHER_API_KEY}",
        "Content-Type": "application/json"
    }
    
    data = {
        "model": "arcee-ai/AFM-4.5B",
        "messages": messages,
        "max_tokens": max_tokens,
        "temperature": temperature,
        "top_p": top_p,
        "stream": True
    }

    response = ""
    
    try:
        with requests.post(TOGETHER_API_URL, headers=headers, json=data, stream=True) as r:
            r.raise_for_status()
            for line in r.iter_lines():
                if line:
                    line = line.decode('utf-8')
                    if line.startswith('data: '):
                        line = line[6:]  # Remove 'data: ' prefix
                        if line.strip() == '[DONE]':
                            break
                        try:
                            chunk = json.loads(line)
                            if 'choices' in chunk and len(chunk['choices']) > 0:
                                delta = chunk['choices'][0].get('delta', {})
                                if 'content' in delta:
                                    token = delta['content']
                                    response += token
                                    yield response
                        except json.JSONDecodeError:
                            continue
    except requests.exceptions.RequestException as e:
        yield f"Error: {str(e)}"


"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value="You are a friendly Chatbot.", 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=0.7, 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__":
    demo.launch()