import os
import urllib
import gradio as gr

import requests

endpoint_url = os.getenv('ENDPOINT_URL')
personal_secret_token = os.getenv('PERSONAL_HF_TOKEN')

turn_breaker = os.getenv('TURN_BREAKER')
system_symbol = os.getenv('SYSTEM_SYMBOL')
user_symbol = os.getenv('USER_SYMBOL')
assistant_symbol = os.getenv('ASSISTANT_SYMBOL')

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

def query(payload):
	# response = requests.post(endpoint_url, headers=headers, json=payload)
	# return response.json()
    return payload['inputs']

# output = query({
# 	"inputs": "你啥比",
# 	"parameters": {
# 		"max_new_tokens": 150
# 	}
# })
# system_message = chatglm_cpp.ChatMessage(role="system", content="请你现在扮演一个软件工程师，名字叫做贺英旭。你需要以这个身份和朋友们对话。")

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_new_tokens,
    temperature,
    top_p,
):
    # messages = [chatglm_cpp.ChatMessage(role="system", content=system_message)]
    # messages = [{"role": "system", "content": system_message}]
    all_messages = [system_message]

    for val in history:
        if val[0]:
            # messages.append({"role": "user", "content": val[0]})
            all_messages.append(user_symbol+val[0])
            # messages.append(chatglm_cpp.ChatMessage(role="user", content=val[0]))
        if val[1]:
            all_messages.append(assistant_symbol+val[1])
            # messages.append(chatglm_cpp.ChatMessage(role="assistant", content=val[1]))

    # messages.append(chatglm_cpp.ChatMessage(role="user", content=message))
    all_messages.append(user_symbol+message)

    generation_kwargs = dict(
        max_new_tokens=max_new_tokens,
        do_sample=temperature > 0,
        top_p=top_p,
        temperature=temperature,
        # stream=True,
    )

    response = query({
        "inputs": turn_breaker.join(all_messages),
        "parameters": generation_kwargs
    })

    return response


"""
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="请你现在扮演一个软件工程师，名字叫做贺英旭。你需要以这个身份和朋友们对话。", 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()