import sys
import spaces
import os
import gradio as gr
import torch
import torch
import threading
from together import Together
from transformers import (
    AutoTokenizer,
    AutoModelForCausalLM,
    TextIteratorStreamer,
)

TOGETHER_MODEL_ID = "EssentialAI/RNJ-1-instruct"  
MAX_INPUT_TOKEN_LENGTH = 8192

client = Together()

@spaces.GPU
def chat_fn(message, history, system_message, max_tokens, temperature, top_p):

    # Add system prompt
    messages = [{"role": "system", "content": system_message}]
    # Convert history into messages list
    for user_msg, bot_msg in history:
        messages.append({"role": "user", "content": user_msg})
        messages.append({"role": "assistant", "content": bot_msg})

    # Append latest user message
    messages.append({"role": "user", "content": message})

    response = client.chat.completions.create(
        model=TOGETHER_MODEL_ID,
        messages=messages,
        temperature=temperature,
        top_p=top_p,
        max_tokens=max_tokens,
    )

    response_str = response.choices[0].message.content
    print(response.choices[0].message.content)

    yield response_str

demo = gr.ChatInterface(
    fn=chat_fn,
    title="Chat Demo with RNJ1",
    description=" Chat with RNJ1",
    additional_inputs=[
        gr.Textbox(value="You are a helpful AI assistant.", 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=0.2, step=0.1, label="Temperature"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p (nucleus sampling)",
        ),
    ],
    examples=[
           ["Hello there! How are you doing?"],
           ["Can you write a Python program that adds two numbers?"],
           ["Which one of these mountains is not located in Europe? Hoverla, Mont-Blanc, Gran Paradiso, Everest"],
       ]
)

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