app.py

import gradio as gr
import requests
import json
import os
import markdown

API_URL = "https://host.palple.polrambora.com/pmsq"

sessions = {}
PRIMARY_SYSTEM_INSTRUCTIONS = "You are P-MSQ (Messaging Service Query), a friendly AI Chatbot that can help in any situations"
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 render_avatars(userid):
    try:
        response = requests.post(
            'https://host.palple.polrambora.com/userexistence',
            json={'userid': userid},
            timeout=10
        )
        if response.status_code == 200:
            response_json = response.json()
            return response_json["avatar"]["link"]
    except Exception:
        return None

def authorize(user, api_key, system_message):
    test_data = {"user": user, "key": api_key}
    try:
        response = requests.post("https://host.palple.polrambora.com/check_key_impv", json=test_data)
        if response.status_code == 200:
            avatar = render_avatars(user) or USER_PIC_PATH
            if api_key not in sessions:
                sessions[api_key] = {
                    "history": [],
                    "headers": {
                        "authorization": api_key,
                        "Content-Type": 'application/json'
                    },
                    "avatar": avatar,
                    "system_message": system_message
                }
            return True
        elif response.status_code == 403:
            return 403
        return False
    except Exception:
        return False

def respond(message, api_key, max_tokens, top_p, temperature):
    session = sessions.get(api_key, {})
    history = session.get("history", [])
    headers = session.get("headers", {})
    system_message = session.get("system_message", PRIMARY_SYSTEM_INSTRUCTIONS)
    messages = [
        {"role": "user", "content": user_message, "profile": user_profile, "picture": user_pic}
        if user_message else
        {"role": "assistant", "content": assistant_message, "profile": assistant_profile, "picture": assistant_pic}
        for user_message, assistant_message, user_profile, assistant_profile, user_pic, assistant_pic in history
    ]
    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", sessions[api_key]["avatar"], ASSISTANT_PIC_PATH))
        sessions[api_key]["history"] = history
        return history, assistant_reply
    return history, "Error: " + response.json().get("error", "Unknown error occurred.")

def render_message(history):
    messages_html = """
    <div id="chatbox-container" class="chatbox" style="height: 400px; overflow: auto; border: 1px solid #262626; padding: 10px; background-color: #171717; display: flex; flex-direction: column-reverse;">
        <div id="messages" style="display: block; margin-bottom: 10px;">"""
    for user_message, assistant_message, user_profile, assistant_profile, user_pic, assistant_pic in history:
        if user_message:
            user_message_html = markdown.markdown(user_message)
            messages_html += f"""
            <div style='display: flex; align-items: center; margin-bottom: 10px;'>
                <img src='{user_pic}' style='width: 40px; height: 40px; border-radius: 50%; margin-right: 10px;'>
                <span style='color: white;'>{user_message_html}</span>
            </div><br>"""
        if assistant_message:
            assistant_message_html = markdown.markdown(assistant_message)
            messages_html += f"""
            <div style='display: flex; align-items: center; margin-bottom: 10px;'>
                <img src='{assistant_pic}' style='width: 40px; height: 40px; border-radius: 50%; margin-right: 10px;'>
                <span style='color: white;'>{assistant_message_html}</span>
            </div><br>"""
    messages_html += "</div></div>"
    return messages_html

math_css = """
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/[email protected]/dist/katex.min.js"></script>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/katex.min.css">
"""

with gr.Blocks(css=math_css) as demo:
    with gr.Row():
        gr.Markdown("## P-MSQ Chat Interface")
        
        chatbot_output = gr.HTML(elem_id="chatbox-container")

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

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

        system_instructions_input = gr.Textbox(placeholder="Enter custom instructions (optional)", 
                                               label="Custom System Instructions", 
                                               lines=2)
        save_instructions_btn = gr.Button("Save Instructions")        
        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("")  

        def user_interaction(message, history, api_key, max_tokens, top_p, temperature):
            loading_message = history + [(message, "Loading...", "You", "P-ALPLE", sessions[api_key]["avatar"], ASSISTANT_PIC_PATH)]
            yield render_message(loading_message), loading_message, ""

            history, assistant_reply = respond(message, api_key, max_tokens, top_p, temperature)
            yield render_message(history), history, ""

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

        def clear_history(api_key):
            if api_key in sessions:
                sessions[api_key]["history"] = []  
            return "", []

        def load_conversation(api_key):
            session = sessions.get(api_key, {})
            history = session.get("history", [])
            return render_message(history), history

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

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

        regen_btn.click(clear_history, 
                        inputs=[api_key_input], 
                        outputs=[chatbot_output, history_state])

    with gr.Column(visible=False) as blacklist_view:
        gr.Markdown("## P-MSQ Authorization")
        gr.Markdown("Your linked ID appears to be blacklisted, and your API Key is pending on removal, if you believe this is a mistake, please try reaching us out.")
    
    
    def authorize_and_proceed(user, api_key):
        if authorize(user, api_key, PRIMARY_SYSTEM_INSTRUCTIONS):
            gr.Info("Loading, please wait.")
            messages_html, history = load_conversation(api_key)

            return (
            gr.update(visible=False), 
            gr.update(visible=True),  
            messages_html,
            history
            )
        elif authorize(user, api_key, PRIMARY_SYSTEM_INSTRUCTIONS) == 403: 
            return (
                gr.update(visible=False),  
                gr.update(visible=False), 
                gr.update(visible=True), 
            )
        else:
            gr.Warning("Incorrect userid/token")
            return (
                gr.update(visible=True),  
                gr.update(visible=False), 
                auth_status.update(value="Invalid userid/token")
            )

    def save_custom_instructions(api_key, custom_instructions):
        if api_key in sessions:
            gr.Info("Instructions updated, we recommend to start the new conversation to make it more efficient.")
            sessions[api_key]["system_message"] = custom_instructions  
            return "Instructions updated!", gr.update(value="")
        else:
            gr.Warning("Your session has been expired, please refresh the page and login again.")
            return "Session not found.", gr.update(value="")


    

    auth_button.click(authorize_and_proceed, inputs=[api_user_input, api_key_input], outputs=[auth_view, chat_view, chatbot_output, history_state])
    save_instructions_btn.click(save_custom_instructions, inputs=[api_key_input, system_instructions_input], outputs=auth_status)
    demo.launch(show_api=False)
if __name__ == "__main__":
    demo.queue = False