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import streamlit as st
from tool_loader import ToolLoader
from app_agent_config import app_agent_config
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
#from transformers import load_tool, Agent
tool_checkboxes = []
url_endpoint = ""
log_enabled = False
# 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()
app_chat(tool_checkboxes, url_endpoint, log_enabled) |