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| 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 | |
| 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. CustomTransformers can do anything \n🤪🤗😄🤗🤪.") | |
| ####### | |
| import pandas as pd | |
| from io import StringIO | |
| with st.sidebar: | |
| with st.expander("Configure the agent and activate tools"): | |
| st.header("Set Tools and Option. Context and Content.") | |
| agent_config.configure() | |
| with st.expander("Set content and context"): | |
| agent_config.context = st.text_area("Context") | |
| agent_config.image = st.camera_input("Take a picture") | |
| img_file_buffer = st.file_uploader('Upload a PNG image', type='png') | |
| if img_file_buffer is not None: | |
| image_raw = Image.open(img_file_buffer) | |
| #global image | |
| agent_config.image = np.array(image_raw) | |
| ######## | |
| st.image(agent_config.image) | |
| uploaded_file = st.file_uploader("Choose a pdf", type='pdf') | |
| if uploaded_file is not None: | |
| # To read file as bytes: | |
| pdf_document = uploaded_file.getvalue() | |
| agent_config.document = pdf_document | |
| st.write(pdf_document) | |
| uploaded_txt_file = st.file_uploader("Choose a txt", type='txt') | |
| if uploaded_txt_file is not None: | |
| # To read file as bytes: | |
| txt_document = uploaded_txt_file.getvalue() | |
| agent_config.document = txt_document | |
| st.write(txt_document) | |
| uploaded_csv_file = st.file_uploader("Choose a csv", type='csv') | |
| if uploaded_csv_file is not None: | |
| # To read file as bytes: | |
| csv_document = uploaded_csv_file.getvalue() | |
| agent_config.document = csv_document | |
| st.write(csv_document) | |
| uploaded_csv_file = st.file_uploader("Choose audio", type='wav') | |
| if uploaded_csv_file is not None: | |
| # To read file as bytes: | |
| csv_document = uploaded_csv_file.getvalue() | |
| agent_config.document = csv_document | |
| st.write(csv_document) | |
| uploaded_csv_file = st.file_uploader("Choose video", type='avi') | |
| if uploaded_csv_file is not None: | |
| # To read file as bytes: | |
| csv_document = uploaded_csv_file.getvalue() | |
| agent_config.document = csv_document | |
| st.write(csv_document) | |
| # 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","User Description"]) | |
| #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("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.") | |
| # Tab 3: User Description | |
| with tabs[1]: | |
| # | |
| app_user_desc() | |
| # Tab 4: Developers | |
| #with tabs[3]: | |
| # app_dev_desc() | |
| #app_chat() | |
| app_chat(agent_config) |