Delete src/streamlit_app.py

src/streamlit_app.py

@@ -1,90 +0,0 @@
-import streamlit as st
-import os
-from rag_engine import ProjectRAGEngine
-
-# -------------------------------
-# Page configuration
-# -------------------------------
-st.set_page_config(
-    page_title="IIR Project Analyzer",
-    layout="wide"
-)
-
-st.title("📂 Industrial Project Report Analyzer")
-
-# -------------------------------
-# Environment validation
-# -------------------------------
-# openai_key = os.getenv("OPENAI_API_KEY")
-# openrouter_key = os.getenv("OPENROUTER_API_KEY")
-
-# if not openai_key or not openrouter_key:
-#     st.error(
-#         "Missing API keys.\n\n"
-#         "Please set the following environment variables:\n"
-#         "- OPENAI_API_KEY (for embeddings)\n"
-#         "- OPENROUTER_API_KEY (for LLM)"
-#     )
-#     st.stop()
-
-# -------------------------------
-# Session persistence
-# -------------------------------
-if "engine" not in st.session_state:
-    st.session_state.engine = ProjectRAGEngine()
-
-# -------------------------------
-# File upload
-# -------------------------------
-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 set(st.session_state.processed_files) != {f.name for f in uploaded_files}
-    ):
-        with st.spinner("Analyzing project reports..."):
-            temp_dir = "temp"
-            os.makedirs(temp_dir, exist_ok=True)
-
-            paths = []
-            for f in uploaded_files:
-                path = os.path.join(temp_dir, f.name)
-                with open(path, "wb") as out:
-                    out.write(f.getbuffer())
-                paths.append(path)
-
-            st.session_state.engine.process_documents(paths)
-            st.session_state.processed_files = [f.name for f in uploaded_files]
-
-        st.success("Reports indexed. Ready for queries.")
-
-# -------------------------------
-# Chat interface
-# -------------------------------
-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.markdown("### Response")
-        st.write(answer)
-
-        if sources:
-            with st.expander("📌 Source Attribution & Quotes"):
-                for idx, s in enumerate(sources):
-                    doc_name = os.path.basename(s["metadata"]["source"])
-                    page_num = s["metadata"]["page"] + 1
-
-                    st.markdown(
-                        f"**Source {idx + 1}:** {doc_name} (Page {page_num})"
-                    )
-                    st.caption(f"\"{s['content'][:300]}...\"")