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="👋", ) 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)