| import streamlit as st |
| import requests |
|
|
| st.set_page_config(page_title="Flykite HR Interface", layout="wide") |
| st.title("🛫 Flykite Airlines HR QnA Assistant Portal") |
|
|
| |
| API_ENDPOINT = "https://SagarAtHf-flykite-model-backend.hf.space/api/generate" |
|
|
| st.sidebar.header("🛠️ Model Hyperparameters") |
| chunk_size = st.sidebar.slider("Chunk Size", 300, 1500, 1000, 50) |
| chunk_overlap = st.sidebar.slider("Chunk Overlap", 0, 300, 100, 25) |
| k_depth = st.sidebar.slider("Retrieval Depth (k)", 1, 5, 3, 1) |
| temperature = st.sidebar.slider("Temperature", 0.01, 1.00, 0.20, 0.05) |
| top_p = st.sidebar.slider("Top-P", 0.50, 1.00, 0.90, 0.05) |
|
|
| user_query = st.text_input("Submit policy query:") |
|
|
| if user_query: |
| payload = { |
| "question": user_query, "chunk_size": chunk_size, "chunk_overlap": chunk_overlap, |
| "k_depth": k_depth, "temperature": temperature, "top_p": top_p |
| } |
| |
| with st.spinner("Processing request via remote AI Model Server..."): |
| try: |
| res = requests.post(API_ENDPOINT, json=payload, timeout=12000) |
| if res.status_code == 200: |
| data = res.json() |
| st.subheader("📋 Assistant Response") |
| st.info(data["answer"]) |
| |
| with st.expander("🔍 Inspect Audit Context Trail Chunks"): |
| for idx, item in enumerate(data["audit_trail"]): |
| st.markdown(f"**Chunk {idx+1} | Page {item['page']}**") |
| st.code(item['content'], language="text") |
| else: |
| st.error(f"Error {res.status_code}: {res.text}") |
| except Exception as e: |
| st.error(f"Connection error: {str(e)}") |
|
|
