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import streamlit as st
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
from app_agent_config import AgentConfig
# Create an instance of AgentConfig
agent_config = AgentConfig()
# Declare global variable
st.set_page_config(
page_title="Transformers can realy do anything...",
page_icon="πŸ‘‹",
)
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.")
#######
import pandas as pd
from io import StringIO
with st.sidebar:
uploaded_file = st.file_uploader("Choose a file")
if uploaded_file is not None:
# To read file as bytes:
bytes_data = uploaded_file.getvalue()
st.write(bytes_data)
# To convert to a string based IO:
stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
st.write(stringio)
# To read file as string:
string_data = stringio.read()
st.write(string_data)
# Can be used wherever a "file-like" object is accepted:
dataframe = pd.read_csv(uploaded_file)
st.write(dataframe)
########
# 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]:
#
agent_config.configure()
# Tab 3: User Description
#with tabs[2]:
#
# app_user_desc()
# Tab 4: Developers
#with tabs[3]:
# app_dev_desc()
#app_chat()
app_chat(agent_config)