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import json
import os
import streamlit as st
import random
import time
import requests
from dotenv import load_dotenv
load_dotenv()
# Streamed response emulator
def response_generator(query):
global conversation_id
word = ''
res =requests.post(
f"{os.environ['api_url']}",
headers={
'Content-Type': 'application/json',
'Authorization': f"Bearer {os.environ['api_key']}"
},
json={
"inputs": {},
"query": query,
"response_mode": "blocking",
"conversation_id": st.session_state['conversation_id'],
"user": "abc-123",
}
)
if res.status_code == 200:
data = json.loads(res.text)
st.session_state['conversation_id'] = data['conversation_id']
answer = data.get('answer','Unable to answer at the moment')
else:
answer = 'Error'
for word in answer.split():
yield word + " "
time.sleep(0.05)
st.title("Ask Amy")
if 'conversation_id' not in st.session_state:
st.session_state['conversation_id'] = ''
# 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"])
# Accept user input
if prompt := st.chat_input("What is up?"):
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Display assistant response in chat message container
with st.chat_message("assistant"):
response = st.write_stream(response_generator(prompt))
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response}) |