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| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| # Placeholder for a user database | |
| user_db = {} | |
| # Inference client | |
| client = InferenceClient("cypsiSAS/Llama-2-7b-chat-finetune_depression") | |
| 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 | |
| # Define the function to be called on button click | |
| def create_and_launch_chatbot(): | |
| chatbot_interface = create_chatbot_interface() | |
| def show_signup_or_login(): | |
| authenticated = gr.State(False) | |
| def handle_login(username, password): | |
| authenticated.value, message = login(username, password) | |
| # Update the visibility of the launch button | |
| launch_button_update = gr.update(visible=authenticated.value) | |
| return message, launch_button_update | |
| with gr.Blocks() as auth_demo: | |
| gr.Markdown("Welcome!") | |
| 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") | |
| launch_button = gr.Button("Launch Chatbot", visible=False) | |
| login_button.click(fn=handle_login, inputs=[login_username, login_password], outputs=[login_output, launch_button]) | |
| chatbot_interface = create_chatbot_interface() | |
| launch_button.click(fn=create_and_launch_chatbot, inputs=None, outputs=None) | |
| auth_demo.launch(debug=True) | |
| if __name__ == "__main__": | |
| show_signup_or_login() | |