Code Editor for app.py

import streamlit as st
import requests
import json

# App title
st.title("CRM Retriever Chatbot")
st.markdown("Ask me about opportunities in the CRM system! 🚀")

# API details
API_URL = "https://emea.snaplogic.com/api/1/rest/slsched/feed/ConnectFasterInc/snapLogic4snapLogic/Bootcamp_EMEA_August_2025/CRM_Retriever_Anjana%20Task"
AUTH_TOKEN = "Bearer 12345"

# 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"])

# Function to send a request to the API
def call_api(question):
    headers = {
        "Authorization": AUTH_TOKEN,
        "Content-Type": "application/json"
    }
    payload = json.dumps([{"Question": question}])
    try:
        response = requests.post(API_URL, headers=headers, data=payload)
        response.raise_for_status()  # Raise an exception for bad status codes
        return response.json()
    except requests.exceptions.RequestException as e:
        return {"error": str(e)}

# React to user input
if prompt := st.chat_input("What is up?"):
    # 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})

    # Call the API with the user's question
    api_response = call_api(prompt)

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        if "error" in api_response:
            st.error(f"Error: {api_response['error']}")
            response_content = f"Sorry, there was an error processing your request: {api_response['error']}"
        else:
            # The API returns a list, so we access the first element
            response_data = api_response[0]
            response_content = response_data.get("Response", "No response found.")
            st.markdown(response_content)
    
    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response_content})