Code Editor for app.py

import streamlit as st
import requests
import json

# API Details
API_URL = "https://emea.snaplogic.com/api/1/rest/slsched/feed/ConnectFasterInc/snapLogic4snapLogic/Bootcamp_EMEA_August_2025/CRM_Retrievier_Sally%20Task"
HEADERS = {
    "Authorization": "Bearer 12345",
    "Content-Type": "application/json"
}

st.set_page_config(page_title="SnapLogic CRM Assistant")
st.title("SnapLogic CRM Assistant")

# 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 := st.chat_input("What opportunities are currently in negotiation?"):
    # Display user message in chat message container
    st.chat_message("user").markdown(prompt)
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})

    # Prepare data for API request
    payload = json.dumps([{"Question": prompt}])

    try:
        # Make the API call
        response = requests.post(API_URL, headers=HEADERS, data=payload)
        response.raise_for_status()  # Raise an HTTPError for bad responses (4xx or 5xx)

        # Parse the JSON response
        response_data = response.json()
        
        # Extract the 'response' field from the first item in the list
        if response_data and isinstance(response_data, list) and "response" in response_data[0]:
            api_response = response_data[0]["response"]
        else:
            api_response = "I couldn't get a valid response from the API."

    except requests.exceptions.RequestException as e:
        api_response = f"An error occurred while calling the API: {e}"
    except (json.JSONDecodeError, IndexError, KeyError) as e:
        api_response = f"Failed to parse the API response: {e}"

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        st.markdown(api_response)
    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": api_response})