Update app.py

app.py

@@ -1,7 +1,3 @@
-# app.py
-# Note: Hugging Face Spaces automatically looks for app.py or main.py
-# The content from all your files is combined here for easy deployment.
-
 import streamlit as st
 import os
 import PyPDF2
@@ -18,18 +14,7 @@ import plotly.express as px
 import pandas as pd
 from datetime import datetime
 
-# --- Dependencies for Hugging Face (will be in requirements.txt) ---
-# streamlit
-# PyPDF2
-# docx
-# langchain
-# langchain-openai
-# langchain-community
-# groq
-# plotly
-# pandas
-# python-dotenv (not strictly necessary with HF secrets, but good practice)
-# -------------------------------------------------------------------
+# Class Definitions (Combined)
 
 class DocumentProcessor:
     def __init__(self):
@@ -536,30 +521,26 @@ class LearningDashboard:
 # Streamlit App Pages (Combined)
 
 def upload_and_process_page(doc_processor):
-    st.header("📂 Upload Your Learning Material")
-    uploaded_file = st.file_uploader(
-        "Choose a file", 
-        type=['pdf', 'docx'],
-        help="Upload PDF or Word documents"
-    )
-    if uploaded_file is not None:
-        file_path = f"/tmp/{uploaded_file.name}"
-        with open(file_path, "wb") as f:
-            f.write(uploaded_file.getbuffer())
-        st.success(f"File uploaded: {uploaded_file.name}")
-        if st.button("Process Document"):
-            with st.spinner("Processing document..."):
-                try:
-                    file_extension = uploaded_file.name.split('.')[-1]
-                    vectorstore, chunk_count = doc_processor.process_document(
-                        file_path, file_extension
-                    )
-                    st.session_state.vectorstore = vectorstore
-                    st.session_state.document_name = uploaded_file.name
-                    st.success(f"Document processed successfully! Created {chunk_count} text chunks.")
-                    st.info("You can now go to 'Learn Topic' to start learning!")
-                except Exception as e:
-                    st.error(f"Error processing document: {str(e)}")
+    st.header("📂 Process Your Learning Material")
+    
+    # Hardcoded file name and path
+    file_path = "ragdatascience.pdf"
+    file_extension = "pdf"
+    
+    st.info(f"Processing the pre-uploaded file: `{file_path}`")
+    
+    if st.button("Process Document"):
+        with st.spinner("Processing document..."):
+            try:
+                vectorstore, chunk_count = doc_processor.process_document(
+                    file_path, file_extension
+                )
+                st.session_state.vectorstore = vectorstore
+                st.session_state.document_name = file_path
+                st.success(f"Document processed successfully! Created {chunk_count} text chunks.")
+                st.info("You can now go to 'Learn Topic' to start learning!")
+            except Exception as e:
+                st.error(f"Error processing document: {str(e)}")
 
 def learn_topic_page(rag_system):
     st.header("📖 Learn About Any Topic")
@@ -619,20 +600,20 @@ def main():
     
     st.sidebar.title("Navigation")
     page = st.sidebar.selectbox("Choose a page:", 
-                               ["Upload & Process", "Learn Topic", "Play Games", "Dashboard"])
+                               ["Process Document", "Learn Topic", "Play Games", "Dashboard"])
     
-    if page == "Upload & Process":
+    if page == "Process Document":
         upload_and_process_page(doc_processor)
     elif page == "Learn Topic":
         if 'vectorstore' in st.session_state:
             learn_topic_page(RAGLearningSystem(st.session_state.vectorstore))
         else:
-            st.warning("Please upload and process a document first!")
+            st.warning("Please process a document first!")
     elif page == "Play Games":
         if 'vectorstore' in st.session_state:
             play_games_page(RAGLearningSystem(st.session_state.vectorstore), games)
         else:
-            st.warning("Please upload and process a document first!")
+            st.warning("Please process a document first!")
     elif page == "Dashboard":
         dashboard.show_dashboard()