Code Editor for app.py

import streamlit as st
import requests
import json
from streamlit.runtime.scriptrunner import get_script_run_ctx

# --- App Configuration ---
st.set_page_config(page_title="API Chatbot", layout="centered")

# --- API Details ---
# The endpoint URL and authorization token have been updated.
API_URL = "https://emea.snaplogic.com/api/1/rest/slsched/feed/ConnectFasterInc/snapLogic4snapLogic/Bootcamp_EMEA_August_2025/CRM_Retriever_Rajesh_Task"
AUTH_TOKEN = "1234"

# --- Helper Functions ---
def get_device_id():
    
    ctx = get_script_run_ctx()
    if ctx is not None:
        return ctx.session_id
    return "unknown_device"

def get_api_response(message):
    
    headers = {
        "Authorization": f"Bearer {AUTH_TOKEN}",
        "Content-Type": "application/json",
    }
    
    # The payload has been updated to match the API's expected format: [{"Question": "..."}]
    payload = json.dumps([
        {"Question": message}
    ])
    
    try:
        response = requests.post(API_URL, headers=headers, data=payload)
        response.raise_for_status()  # Raises an HTTPError for bad responses (4xx or 5xx)
        
        # The response parsing has been updated to match the API's format: [{"Response": "..."}]
        api_response_data = response.json()
        if api_response_data and isinstance(api_response_data, list) and len(api_response_data) > 0:
            return api_response_data[0].get("Response", "Sorry, I couldn't get a response from the API.")
        else:
            return "Sorry, the API returned an unexpected response format."
    except requests.exceptions.RequestException as e:
        st.error(f"Error connecting to the API: {e}")
        return "Sorry, I'm having trouble connecting right now. Please try again later."

# --- Streamlit UI ---
st.title("Streamlit API Chatbot")
st.markdown("Feel free to ask me anything!")

# Initialize chat history in session state if it doesn't exist
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display existing chat messages
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# Handle 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)

    # Get and display the API's response
    with st.chat_message("assistant"):
        with st.spinner("Thinking..."):
            response = get_api_response(prompt)
            st.markdown(response)
    # Add the assistant's response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response})