app.py

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",
}

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 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 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"<b>{user_profile}:</b> {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"<b>{assistant_profile}:</b> {assistant_message}</div><br>"
    
    return messages_html

with gr.Blocks(css=".chatbox {height: 400px; overflow-y: auto;}") as demo:
    gr.Markdown("## P-MSQ Chat Interface with Profile Pictures")
    gr.Markdown("""
    Welcome to the **P-MSQ** (Messaging Service Query) chat interface! 
    You are interacting with a friendly AI chatbot that can assist you in various situations.
    Use the text input box below to start chatting.
    """)

    chatbot_output = gr.HTML(elem_id="chatbox", label="Chat History") 

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

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

    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("")  

    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):
        if last_message:
            history, assistant_reply = respond(last_message, history, system_message, max_tokens, top_p, temperature)
            return render_message(history), history
        return render_message(history), history  

    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])

    with gr.Row():
        send_btn
        regen_btn

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