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# https://docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps
import os
import openai
import requests
import streamlit as st
from utils.util import *
from langchain.memory import ConversationBufferMemory
SAVE_DIR = "uploaded_files"
os.makedirs(SAVE_DIR, exist_ok=True)
def init_session_state():
if "openai_api_key" not in st.session_state:
st.session_state.openai_api_key = ""
if "uploaded_files" not in st.session_state:
st.session_state.uploaded_files = os.listdir(SAVE_DIR)
init_session_state()
st.set_page_config(page_title="RegBotBeta", page_icon="📜🤖")
st.title("Welcome to RegBotBeta2.0")
st.header("Powered by `LlamaIndex🦙`, `Langchain🦜🔗 ` and `OpenAI API`")
def init_session_state():
if "huggingface_token" not in st.session_state:
st.session_state.huggingface_token = ""
init_session_state()
uploaded_files = st.file_uploader(
"Upload Files",
accept_multiple_files=True,
type=["pdf", "docx", "txt", "csv"],
)
if uploaded_files:
for file in uploaded_files:
if file not in st.session_state.uploaded_files:
# add the file to session state
st.session_state.uploaded_files.append(file.name)
# save the file to the sample_data directory
with open(os.path.join(SAVE_DIR, file.name), "wb") as f:
f.write(file.getbuffer())
st.success("File(s) uploaded successfully!")
if st.session_state.uploaded_files:
st.write("Uploaded Files:")
for i, filename in enumerate(st.session_state.uploaded_files, start=1):
st.write(f"{i}. {filename}")
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