import gradio as gr
import requests
import json
import os

API_URL = "https://host.palple.polrambora.com/pmsq"
API_TOKEN = os.getenv("POLLY")  

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

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    top_p,
    temperature,
):
    messages = []
    
    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})


    data = {
        "preferences": {
            "max_char": max_tokens,
            "temperature": temperature,
            "top_p": top_p,
            "system_message": system_message
        },
        "conversation_history": messages,
        "input": message
    }

    response = requests.post(API_URL, headers=headers, data=json.dumps(data))
    print(response)
    response_json = response.json()

    if response.status_code == 200:
        print(response_json)
        respond = response_json["msq"]["message"][0]
        yield respond
    else:
        yield "Error: " + response_json.get("error", "Unknown error occurred.")

"""
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 P-MSQ (Messaging Service Query), a friendly AI Chatbot that can help in any situations. Answer in user's language as concisely as possible.", label="System message"),
        gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max new tokens"),
        gr.Slider(minimum=0, maximum=2, value=0.8, step=0.1, label="Top P"),
        gr.Slider(minimum=0.1, maximum=1, value=0.7, step=0.1, label="Temperature"),
    ],
)

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