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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() |