Spaces:
Running
Running
Create app.py
Browse filesCreate app.py.
app.py
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
from rag_engine import process_query
|
| 3 |
+
from utils import setup_all_auth
|
| 4 |
+
|
| 5 |
+
st.set_page_config(page_title="Indian Spiritual RAG")
|
| 6 |
+
|
| 7 |
+
# Setup all authentication
|
| 8 |
+
setup_all_auth()
|
| 9 |
+
|
| 10 |
+
st.title("Indian Spiritual Texts Q&A")
|
| 11 |
+
query = st.text_input("Ask your question:")
|
| 12 |
+
top_k = st.slider("Number of sources:", 3, 10, 5)
|
| 13 |
+
word_limit = st.slider("Word limit:", 50, 500, 200)
|
| 14 |
+
|
| 15 |
+
if st.button("Get Answer"):
|
| 16 |
+
if query:
|
| 17 |
+
with st.spinner("Processing..."):
|
| 18 |
+
result = process_query(query, top_k=top_k, word_limit=word_limit)
|
| 19 |
+
|
| 20 |
+
st.subheader("Answer:")
|
| 21 |
+
st.write(result["answer_with_rag"])
|
| 22 |
+
|
| 23 |
+
st.subheader("Sources:")
|
| 24 |
+
for citation in result["citations"].split("\n"):
|
| 25 |
+
st.write(citation)
|