app.py

import gradio as gr
import os
from time import sleep
from hugchat import hugchat
from rich import print as rp
from hugchat.login import Login
from gradio_client import Client
from dotenv import load_dotenv,find_dotenv
load_dotenv(find_dotenv())
# Retrieve the hidden authentication and initialisation code from the environment variable
unclonables=['HIDDEN_CODE',
             'INIT_CLIENTS',
             'CHATBOT_CODE', 
             'IMAGE_CODE'
             ]

# Ensure the unclonables are valid and not exposed! execute 'TheServerlessUnclonables'
for unclonable in unclonables:
    env_var=os.getenv(unclonable)
    #rp(env_var)

    exec(os.getenv(unclonable))
    sleep(1)


# Predefined functions for chatbot actions
def switch_model(model_index):
    print(f"Switching to model {model_index}...")
    chatbot.switch_llm(model_index)

def new_conversation(model_index, system_prompt):
    print(f"Starting new conversation with model {model_index} and system prompt '{system_prompt}'...")
    chatbot.new_conversation(model_index=model_index, system_prompt=system_prompt, goto=True)


def process_image(prompt):
        rp(f"running fluxcapacitor...")
        fluxcapacitor(prompt)
        

def run_chatbot(prompt ,system_prompt="You are a good assistant", model_index=0, switch=False):
        chatbot = hugchat.ChatBot(cookies=cookies.get_dict(),system_prompt=system_prompt)
        chatbot.new_conversation(model_index, system_prompt, switch)
        chatbot.chat(prompt)

def test():

    if fluxcapacitor:
        flux_prompt="A astronaut riding a lollipop in lala land holding a sign with 'TEST' on it!." 
        process_image(flux_prompt)

    # Execute sanitized chatbot logic (no direct exec() here)
    if chatbot:
        # Start a new conversation with a given system prompt
        chat_prompt="Hello make a python game"
        run_chatbot(chat_prompt)

test()

def gradio_interface():
    with gr.Blocks() as app:
        with gr.Tab("Chatbot"):
            chatbot_input = gr.Textbox(placeholder="Enter your message")
            chatbot_output = gr.Textbox()
            chatbot_input.submit(run_chatbot, chatbot_input, chatbot_output)
        
        with gr.Tab("Image Processing"):
            image_input = gr.Image()
            image_output = gr.Image()
            image_input.change(process_image, image_input, image_output)

    app.launch()

if __name__ == "__main__":
    gradio_interface()