app.py

import gradio as gr
from huggingface_hub import InferenceClient

# Placeholder for a user database
user_db = {}

# Inference client
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")

def signup(username, password):
 if username in user_db:
 return "Username already exists. Please choose another one."
 user_db[username] = password
 return "Signup successful. You can now log in."

def login(username, password):
 if username not in user_db:
 return False, "Username does not exist. Please sign up."
 if user_db[username] != password:
 return False, "Incorrect password. Please try again."
 return True, "Login successful. You can now access the chatbot."

def respond(message, history, system_message, max_tokens, temperature, top_p):
 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})

 response = ""

 for message in client.chat_completion(
 messages,
 max_tokens=max_tokens,
 stream=True,
 temperature=temperature,
 top_p=top_p,
 ):
 token = message.choices[0].delta.content

 response += token
 yield response

def create_chatbot_interface():
 chatbot_interface = gr.ChatInterface(
 respond,
 # additional_inputs=[
 # gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
 # gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
 # gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
 # gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
 # ],
 )
 return chatbot_interface

def show_signup_or_login():
 authenticated = gr.State(False)

 def handle_login(username, password):
 success, message = login(username, password)
 if success:
 authenticated.value = True

 return message

 with gr.Blocks() as auth_demo:
 with gr.Tabs():
 with gr.TabItem("Sign Up"):
 signup_username = gr.Textbox(label="Username")
 signup_password = gr.Textbox(type="password", label="Password")
 signup_button = gr.Button("Sign Up")
 signup_output = gr.Textbox(label="Signup Status")

 signup_button.click(fn=signup, inputs=[signup_username, signup_password], outputs=signup_output)

 with gr.TabItem("Log In"):
 login_username = gr.Textbox(label="Username")
 login_password = gr.Textbox(type="password", label="Password")
 login_button = gr.Button("Log In")
 login_output = gr.Textbox(label="Login Status")

 login_button.click(fn=handle_login, inputs=[login_username, login_password], outputs=login_output)

 launch_button = gr.Button("Launch Chatbot")
 # chatbot_interface = create_chatbot_interface()

 # launch_button.click(fn=lambda: chatbot_interface, inputs=None, outputs=[chatbot_interface])

 auth_demo.launch(share= True)

if __name__ == "__main__":
 show_signup_or_login()