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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()
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