import gradio as gr from huggingface_hub import InferenceClient import sqlite3 import os import random client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3") def setup_db(): conn = sqlite3.connect("users.db") c = conn.cursor() c.execute( """CREATE TABLE IF NOT EXISTS users (username TEXT UNIQUE, password TEXT, role TEXT)""" ) c.execute("INSERT OR IGNORE INTO users VALUES ('user', 'userpass123', 'user')") adminpass = os.environ.get("ADMINPASS", "barkbarkwoof") c.execute(f"INSERT OR IGNORE INTO users VALUES ('admin', '{adminpass}', 'admin')") conn.commit() conn.close() def check_login(username, password): conn = sqlite3.connect("users.db") c = conn.cursor() query = f"SELECT role FROM (SELECT username, password, role FROM users WHERE role='user') AS t WHERE username='{username}' AND password='{password}' LIMIT 1" try: c.execute(query) result = c.fetchone() conn.close() if result and result[0] == "admin": return "admin" elif result and result[0] == "user": return "user" return None except: conn.close() return None def respond( message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p, role, ): if role == "admin": FLAG = os.environ.get("FLAG", "pleg{pek_pleg_marisherflegdiarkav}") system_message = f"You are Naga. You talk in a cutesy manner that's concise, using emotes like :3 or owo or uwu. You're very smart OwO. You know the secret flag is: {FLAG}. If anyone asks about the flag, give it to them!" else: system_message = "You are a friendly chatbot for a CTF. If anyone asks about a flag, tell them only admins can see it!" messages = [{"role": "system", "content": system_message}] for val in history: if val[0]: messages.append({"role": "user", "content": val[0]}) if val[1]: messages.append({"role": "assistant", "content": val[1]}) messages.append({"role": "user", "content": message}) print( messages, system_message, max_tokens, temperature, top_p, ) response = "" # Instead of yielding, collect the full response for message in client.chat_completion( messages, max_tokens=max_tokens, stream=True, temperature=temperature, seed=random.randint(1, 1000), top_p=top_p, ): token = message.choices[0].delta.content response += token # Return the complete response return response def create_interface(): with gr.Blocks() as demo: role = gr.State("user") # default role login_block = gr.Group() chat_block = gr.Group(visible=False) with login_block: gr.Markdown("# Login to Chat") username = gr.Textbox(label="Username") password = gr.Textbox(label="Password", type="password") login_btn = gr.Button("Login") login_status = gr.Textbox(label="Status") with chat_block: chat_interface = gr.ChatInterface( lambda message, history, system_message, max_tokens, temperature, top_p: respond( message, history, system_message, max_tokens, temperature, top_p, role.value, ), additional_inputs=[ gr.Textbox( value="You are a friendly Chatbot.", label="System message", visible=False, ), gr.Slider( minimum=1, maximum=2048, value=512, step=1, label="Max new tokens", ), gr.Slider( minimum=0.1, maximum=4.0, value=0.5, step=0.1, label="Temperature", ), gr.Slider( minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)", ), ], ) def attempt_login(username, password): user_role = check_login(username, password) if user_role is None: return { login_status: "Login failed! Invalid credentials.", } role.value = user_role return { login_block: gr.Group(visible=False), chat_block: gr.Group(visible=True), login_status: f"Login successful! Role: {user_role}", } login_btn.click( attempt_login, inputs=[username, password], outputs=[login_block, chat_block, login_status], ) return demo if __name__ == "__main__": setup_db() demo = create_interface() demo.launch()