app.py

import gradio as gr
import requests
import json
import os
import markdown
from markdown.extensions.codehilite import CodeHiliteExtension
import markdown.extensions.fenced_code
import bleach
from html import escape

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 as e:
        return None
    except requests.exceptions.Timeout:
        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:
            response_json = response.json()
            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
        else:
            return False
    except Exception as e:
        return False

def respond(message, api_key, max_tokens, top_p, temperature):
    session = sessions.get(api_key, {})
    headers = session.get("headers", {})
    system_message = session.get("system_message", PRIMARY_SYSTEM_INSTRUCTIONS)
    
    messages = [
        {"role": "system", "content": system_message},
        *[
            {"role": "user", "content": user_msg} if user_msg else {"role": "assistant", "content": assistant_msg}
            for user_msg, assistant_msg, _, _, _, _ in session.get("history", [])
        ],
        {"role": "user", "content": message}
    ]
    
    data = {
        "preferences": {
            "max_char": max_tokens,
            "temperature": temperature,
            "top_p": top_p,
            "system_message": system_message,
        },
        "conversation_history": messages,
        "input": message,
        "stream": True,
    }

    assistant_reply = ""
    try:
        response = requests.post(API_URL, headers=headers, data=json.dumps(data), stream=True)
        
        if response.status_code == 200:
            for line in response.iter_lines(decode_unicode=True):
                if line.strip():
                    try:
                        if line.startswith("data:"):
                            line = line[5:].strip()
                        if line:
                            chunk = json.loads(line)
                            chunk_message = chunk.get("delta", {}).get("content", "")
                            assistant_reply += chunk_message
                            yield assistant_reply  # Stream the response incrementally
                    except json.JSONDecodeError:
                        pass

            session["history"].append((message, assistant_reply, "You", "P-ALPLE", session["avatar"], ASSISTANT_PIC_PATH))
        else:
            yield f"Error: {response.status_code} - {response.text}"
    except Exception as e:
        yield f"Error: {str(e)}"




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;">"""

    seen_messages = set()  # Track (role, message) pairs to avoid duplicates

    allowed_tags = [
        'p', 'strong', 'em', 'ul', 'ol', 'li', 'a', 'code', 'pre', 'br', 'blockquote', 'hr', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'img'
    ]
    allowed_attributes = {
        '*': ['class', 'style'],
        'a': ['href', 'title'],
        'img': ['src', 'alt', 'title', 'width', 'height']
    }

    for user_message, assistant_message, user_profile, assistant_profile, user_pic, assistant_pic in history:
        if user_message and ("user", user_message) not in seen_messages:
            seen_messages.add(("user", user_message))
            user_message_html = markdown.markdown(
                escape_html(user_message),
                extensions=["fenced_code", "codehilite"]
            )
            user_message_html = bleach.clean(user_message_html, tags=allowed_tags, attributes=allowed_attributes, strip=True)
            messages_html += f"""
            <div style='display: flex; flex-direction: column; align-items: flex-start; margin-bottom: 10px;'>
                <img src='{user_pic}' style='width: 40px; height: 40px; border-radius: 50%; margin-bottom: 5px;'>
                <div style='color: white; white-space: pre-wrap;'>{user_message_html}</div>
            </div>"""

        if assistant_message and ("assistant", assistant_message) not in seen_messages:
            seen_messages.add(("assistant", assistant_message))
            assistant_message_html = markdown.markdown(
                escape_html(assistant_message),
                extensions=["fenced_code", "codehilite"]
            )
            assistant_message_html = bleach.clean(assistant_message_html, tags=allowed_tags, attributes=allowed_attributes, strip=True)
            messages_html += f"""
            <div style='display: flex; flex-direction: column; align-items: flex-start; margin-bottom: 10px;'>
                <img src='{assistant_pic}' style='width: 40px; height: 40px; border-radius: 50%; margin-bottom: 5px;'>
                <div style='color: white; white-space: pre-wrap;'>{assistant_message_html}</div>
            </div>"""

    messages_html += "</div></div>"
    return messages_html


def escape_html(unsafe_text):
    escaped_text = ''.join(f"&#{ord(char)};" if char not in ('\n', '\r') else '<br>' for char in unsafe_text)
    return escaped_text

    
css="""
.chatbox {height: 400px; overflow: auto; border: 1px solid #262626; padding: 10px; background-color: #171717; display: flex;  flex-direction: column-reverse;}
"""
with gr.Blocks(css=css) as demo:
     
    
    with gr.Column(visible=True) as auth_view:
        gr.Markdown("## P-MSQ Authorization")
        gr.Markdown("P-MSQ is in closed alpha test! The model, api and more are subject to change.")
        api_user_input = gr.Textbox(placeholder="snowflake", label="UserID", type='email')
        api_key_input = gr.Textbox(placeholder="Enter your API key", label="Token", type='password')
        auth_button = gr.Button("Authorize")
        auth_status = gr.Textbox(label="Authorization Status", interactive=False)

    with gr.Column(visible=False) as chat_view:
        gr.HTML("""
    <script type="text/javascript" id="MathJax-script" async
        src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/3.2.2/es5/tex-mml-chtml.js">
    </script>
    """)
        gr.Markdown("## P-MSQ Chat Interface")
        chatbot_output = gr.HTML(elem_id="chatbox-container")
        gr.Markdown(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, ""

            assistant_response = ""
            for partial_reply in respond(message, api_key, max_tokens, top_p, temperature):
                assistant_response = partial_reply  # Accumulate streamed response
                partial_history = history + [(message, assistant_response, "You", "P-ALPLE", sessions[api_key]["avatar"], ASSISTANT_PIC_PATH)]
                yield render_message(partial_history), partial_history, ""

            final_history = history + [(message, assistant_response, "You", "P-ALPLE", sessions[api_key]["avatar"], ASSISTANT_PIC_PATH)]
            yield render_message(final_history), final_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