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ui.py
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import os
import requests
import streamlit as st
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
env_api_host = os.environ.get("PATHWAY_REST_CONNECTOR_HOST", "127.0.0.1:8080")
# Sidebar for user input
with st.sidebar:
st.markdown("## API Configuration")
st.markdown("Note that you need to run the backend service first to use the app.")
api_host = st.text_input("Pathway backend API Address", value=env_api_host)
st.markdown("## How to query your data\n")
st.markdown(
"""Enter your question, optionally
ask to be alerted.\n"""
)
st.markdown(
"Example: 'When does the magic cola campaign start? Alert me if the start date changes'",
)
st.markdown(
"""[View the source code on GitHub](
https://github.com/pathway-labs/drive-alert)"""
)
st.markdown("## Current Alerts:\n")
# Streamlit UI elements
st.title("Google Drive notifications with LLM")
prompt = st.text_input("How can I help you today?")
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = []
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# React to user input
if prompt:
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
for message in st.session_state.messages:
if message["role"] == "user":
st.sidebar.text(f"📩 {message['content']}")
url = f"http://{api_host}"
data = {"query": prompt, "user": "user"}
response = requests.post(url, json=data)
if response.status_code == 200:
response = response.json()
with st.chat_message("assistant"):
st.markdown(response)
st.session_state.messages.append({"role": "assistant", "content": response})
else:
st.error(
f"Failed to send data to Discounts API. Status code: {response.status_code}"
)