app.py

import streamlit as st

from tool_loader import ToolLoader
from app_chat import app_chat
from app_user_desc import app_user_desc
from app_dev_desc import app_dev_desc
from app_agent_config import app_agent_config
from logger import log_response
from logger import log_enabled

#from transformers import load_tool, Agent 

# Declare global variable
 
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 API.")
    
# Create a page with tabs
tabs = st.tabs(["Chat", "URL, Tools and logging", "User Description", "Developers"])

# Tab 1: Chat
with tabs[0]:
    
    # Code for URL and Tools checkboxes 
    #chat_description()
    # Examples for the user perspective
    st.markdown("Stat to chat. e.g. Generate an image of a boat. This will make the agent use the tool text2image to generate an image.")
 
# Tab 2: URL and Tools
with tabs[1]:
    #
    app_agent_config()

# Tab 3: User Description
with tabs[2]:
    #
    app_user_desc()
    
# Tab 4: Developers
with tabs[3]:
    app_dev_desc()     
   
app_chat()