import kminterface
import requests
import json

        
def tokenize(text):
    return text
    # return tok.encode(text, add_special_tokens=False)
    
def format_prompt(message, history):
    prompt = ""
    for user_prompt, bot_response in history:
        prompt += "<s>" + tokenize("[INST]") + tokenize(user_prompt) + tokenize("[/INST]")
        prompt += tokenize(bot_response) + "</s> "
    prompt += tokenize("[INST]") + tokenize(message) + tokenize("[/INST]")
    return prompt

def generate(prompt, history, system_prompt, temperature=0.2, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0):
    print(type(history), history)
    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)

    stream = kminterface.client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""

    for response in stream:
        print(response.token.text + "/n")
        output += response.token.text
        yield output
    return output

    

demo = kminterface.gr.ChatInterface(fn=generate, 
                        chatbot=kminterface.mychatbot,
                        additional_inputs=kminterface.additional_inputs,
                        title="Kamran's Mixtral 8x7b Chat",
                        retry_btn=None,
                        undo_btn=None
                       )

demo.queue().launch(show_api=False)