sanket03's picture
added team discussion agent and also added new multiagent file.
9be4e03
import streamlit as st
from langchain_core.messages import HumanMessage,AIMessage,ToolMessage
import json
import asyncio
from streamlit_lottie import st_lottie
import requests
import time
def render_animation():
# https://lottiefiles.com/free-animations/websites
# animation_url = "https://assets1.lottiefiles.com/packages/lf20_vykpwt8b.json"
animation_url = "https://lottie.host/b625e5d3-e696-4bc2-a836-7fdd61efa527/daK5Y4g6cq.json" # Aeroplane Earth
# animation_url = "https://lottie.host/0e344c09-4687-4a08-9e97-16dba5d1e479/f1jX44fp9f.json" # Thinking
animation_response = requests.get(animation_url)
if animation_response.status_code == 200:
animation_json = animation_response.json()
return st_lottie(animation_json, height=200, width=300)
else:
print("Error in the URL")
class DisplayResultStreamlit:
def __init__(self,usecase, final_agent, user_message):
self.usecase = usecase
self.final_agent = final_agent
self.user_message = user_message
def display_result_on_ui(self):
final_agent = self.final_agent
user_message = self.user_message
usecase = self.usecase
# # User Input
# user_input = st.text_input("Enter your question:")
# print(user_input)
# # Display Response
if user_message:
with st.spinner("Thinking 🤔...."):
render_animation()
response = final_agent.run(user_message)
st.markdown(response.get_content_as_string())