app.py

import streamlit as st

from PIL import Image
from tool_loader import ToolLoader
from app_user_desc import app_user_desc
from app_dev_desc import app_dev_desc
from logger import log_response
from logger import log_enabled
from app_chat import app_chat
import numpy as np
import re,sys,unicodedata
import logging


from app_agent_config import AgentConfig 

# Create an instance of AgentConfig ## holds all data and settings
agent_config = AgentConfig()


st.set_page_config(
    page_title="Custom Transformers can realy do anything...",
    page_icon="👋",
)

#####
def on_close():
    print("The modal was closed!")


def open_modal():
    print("Todo")
   # st.modal("User Guide", "app_user_desc()")

st.button("User Description", open_modal())
# Define a callback function that will be called when the button is clicked
#def open_modal():
#    st.modal("User Guide", app_user_desc())

# Create a button that opens the modal

#######

import pandas as pd
from io import StringIO
with st.sidebar:


    st.header("Set Tools and Option. ")

    with st.expander("Configure the agent and activate tools"):

            agent_config.configure()

    with st.expander("Set Content and Context"):

            agent_config.content_and_context()
         
# Create a page with tabs
#tabs = st.tabs(["Chat","User Description"])

#with tabs[0]: 
st.title("Hugging Face Agent and Tools")

## LB https://huggingface.co/spaces/qiantong-xu/toolbench-leaderboard

st.markdown("Welcome to the Hugging Face Agent and Tools app! This app allows you to interact with various tools using the Hugging Face Inference API.  CustomTransformers can do anything \n🤪🤗😄🤗🤪.")

    #st.markdown("Start to chat. e.g. Generate an image of a boat. This will make the agent use the tool text2image to generate an image. Set content, context, Inference URL , tools and logging in the sidebar.")
 
#with tabs[1]:
   # app_user_desc()
       
app_chat(agent_config)