Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,48 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+import os
+from rag_engine import ProjectRAGEngine
+
+st.set_page_config(page_title="Project Analyzer", layout="wide")
+st.title("📂 Industrial Project Report Analyzer")
+
+# Handling OpenAI API Key from Hugging Face Secrets or User Input
+api_key = os.environ.get("OPENAI_API_KEY")
+if not api_key:
+    api_key = st.sidebar.text_input("Enter OpenAI API Key", type="password")
+
+if not api_key:
+    st.warning("Please provide an OpenAI API Key to continue.")
+    st.stop()
+
+if "engine" not in st.session_state:
+    st.session_state.engine = ProjectRAGEngine(api_key)
+
+# Document Upload Section [cite: 29]
+uploaded_files = st.sidebar.file_uploader("Upload Project PDFs", type="pdf", accept_multiple_files=True)
+
+if uploaded_files:
+    if "processed_files" not in st.session_state or len(st.session_state.processed_files) != len(uploaded_files):
+        with st.spinner("Processing documents..."):
+            if not os.path.exists("temp"): os.makedirs("temp")
+            paths = []
+            for f in uploaded_files:
+                p = os.path.join("temp", f.name)
+                with open(p, "wb") as out: out.write(f.getbuffer())
+                paths.append(p)
+            st.session_state.engine.process_documents(paths)
+            st.session_state.processed_files = [f.name for f in uploaded_files]
+        st.success("Indexing complete. You can now ask questions.")
+
+# Chat Interface [cite: 30, 31]
+query = st.chat_input("Ex: 'Compare the budgets of these projects'")
+if query:
+    with st.chat_message("user"): st.write(query)
+    with st.chat_message("assistant"):
+        answer, sources = st.session_state.engine.get_answer(query)
+        st.write(answer)
+        with st.expander("Source Attribution & Quotes"):
+            for s in sources:
+                doc = os.path.basename(s['metadata']['source'])
+                page = s['metadata']['page']
+                st.markdown(f"**{doc} (Page {page})**")
+                st.caption(f"\"{s['content'][:200]}...\"")