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": "",
    "Content-Type": "application/json",
}

ASSISTANT_PIC_PATH = "https://huggingface.co/spaces/PLRMB/P-MSQ-API-PREVIEW/resolve/main/API.png"  
USER_PIC_PATH = "https://huggingface.co/spaces/PLRMB/P-MSQ-API-PREVIEW/resolve/main/usr.png"

def authorize(api_key):
    test_data = {"test": "auth"}
    test_headers = {
        "Authorization": f"{api_key}",
        "Content-Type": "application/json",
    }
    response = requests.post("https://", headers=test_headers, data=json.dumps(test_data))
    if response.status_code == 200:
        headers["Authorization"] = f"{api_key}"
        return True
    else:
        return False

def respond(message, history, system_message, max_tokens, top_p, temperature):
    messages = []
    for user_message, assistant_message, user_profile, assistant_profile, user_pic, assistant_pic in history:
        if user_message:
            messages.append({
                "role": "user",
                "content": user_message,
                "profile": user_profile,
                "picture": user_pic
            })
        if assistant_message:
            messages.append({
                "role": "assistant",
                "content": assistant_message,
                "profile": assistant_profile,
                "picture": assistant_pic
            })

    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))
    
    if response.status_code == 200:
        response_json = response.json()
        assistant_reply = response_json["msq"]["message"][0]
        history.append((message, assistant_reply, "You", "P-ALPLE", USER_PIC_PATH, ASSISTANT_PIC_PATH))
        return history, assistant_reply
    else:
        return history, "Error: " + response.json().get("error", "Unknown error occurred.")

def load_conversation_from_file(json_file):
    with open(json_file, 'r') as file:
        data = json.load(file)
        history = []
        for msg in data['conversation']:
            user_message = msg.get('user_message', "")
            assistant_message = msg.get('assistant_message', "")
            history.append((user_message, assistant_message, "You", "P-ALPLE", USER_PIC_PATH, ASSISTANT_PIC_PATH))
        return history

# Message rendering
def render_message(history):
    messages_html = ""
    for user_message, assistant_message, user_profile, assistant_profile, user_pic, assistant_pic in history:
        if user_message:
            messages_html += f"<div style='display: flex; align-items: center; margin-bottom: 10px;'>"
            if user_pic:
                messages_html += f"<img src='{user_pic}' style='width: 40px; height: 40px; border-radius: 50%; margin-right: 10px;'>"
            messages_html += f"{user_message}</div><br>"

        if assistant_message:
            messages_html += f"<div style='display: flex; align-items: center; margin-bottom: 10px;'>"
            if assistant_pic:
                messages_html += f"<img src='{assistant_pic}' style='width: 40px; height: 40px; border-radius: 50%; margin-right: 10px;'>"
            messages_html += f"{assistant_message}</div><br>"
    
    return messages_html

with gr.Blocks(css=".chatbox {height: 400px; overflow-y: auto; border: 1px solid #ccc; padding: 10px; background-color: #f9f9f9;}") as demo:

    with gr.Column(visible=True) as auth_view:
        gr.Markdown("## P-MSQ Authorization")
        api_key_input = gr.Textbox(placeholder="Enter your API key", label="API Key")
        auth_button = gr.Button("Authorize")

    with gr.Column(visible=False) as chat_view:
        gr.Markdown("## P-MSQ Chat Interface")

        chatbot_output = gr.HTML(elem_id="chatbox")  

        msg_input = gr.Textbox(
            show_label=False, 
            placeholder="Type your message and press Enter...", 
            lines=2,
            elem_id="input-text"
        )

        send_btn = gr.Button("Send")
        regen_btn = gr.Button("Clear")

        system_message = gr.Textbox(value="You are P-MSQ (Messaging Service Query), a friendly AI Chatbot that can help in any situations.", label="System message")
        
        gr.Markdown("### Settings")
        
        max_tokens = gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max new tokens")
        top_p = gr.Slider(minimum=0, maximum=2, value=0.8, step=0.1, label="Top P")
        temperature = gr.Slider(minimum=0.1, maximum=1, value=0.7, step=0.1, label="Temperature")

        history_state = gr.State([])  
        last_message_state = gr.State("")  

        load_btn = gr.Button("Load Conversation")
        json_file_input = gr.Textbox(placeholder="Path to .json file", label="JSON File Path")

        def load_conversation(file_path):
            history = load_conversation_from_file(file_path)
            return render_message(history), history

        load_btn.click(load_conversation, inputs=json_file_input, outputs=[chatbot_output, history_state])

        def user_interaction(message, history, system_message, max_tokens, top_p, temperature):
            history, assistant_reply = respond(message, history, system_message, max_tokens, top_p, temperature)
            return render_message(history), history, "", message  

        def regenerate_response(history, last_message, system_message, max_tokens, top_p, temperature):
            return "", []

        msg_input.submit(user_interaction, 
                         inputs=[msg_input, history_state, system_message, max_tokens, top_p, temperature], 
                         outputs=[chatbot_output, history_state, msg_input, last_message_state])

        send_btn.click(user_interaction, 
                       inputs=[msg_input, history_state, system_message, max_tokens, top_p, temperature], 
                       outputs=[chatbot_output, history_state, msg_input, last_message_state])

        regen_btn.click(regenerate_response, 
                        inputs=[history_state, last_message_state, system_message, max_tokens, top_p, temperature], 
                        outputs=[chatbot_output, history_state])

    def authorize_and_proceed(api_key):
        if authorize(api_key):
            return gr.update(visible=False), gr.update(visible=True)
        else:
            return gr.update(visible=True), gr.update(visible=False)

    auth_button.click(authorize_and_proceed, inputs=api_key_input, outputs=[auth_view, chat_view])

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