Update app.py

app.py

@@ -16,20 +16,29 @@ if "chain" not in st.session_state:
 
 def create_sidebar():
     with st.sidebar:
-        st.title("PDF Chat")
-        st.markdown("### Quick Demo of RAG")
-        api_key = st.text_input("OpenAI API Key:", type="password")
+        st.title("🤖 PDF Chat")
+        
+        api_key = st.text_input("OpenAI API Key:", type="password", help="Get your API key from OpenAI website")
+        
         st.markdown("""
-        ### Tools Used
-        - OpenAI
+        ### What is this?
+        A simple app that lets you chat with your PDF files using GPT and RAG.
+        
+        ### How to use
+        1. Paste your OpenAI API key
+        2. Upload PDF file(s)
+        3. Click 'Process PDFs'
+        4. Start asking questions!
+        
+        ### Built using
         - LangChain
+        - OpenAI
         - FAISS
+        - Streamlit
         
-        ### Steps
-        1. Add API key
-        2. Upload PDF
-        3. Chat!
+        Made with ☕
         """)
+        
         return api_key
 
 def process_pdfs(papers, api_key):
@@ -85,24 +94,42 @@ def main():
     st.set_page_config(page_title="PDF Chat")
     
     api_key = create_sidebar()
-    
-    if not api_key:
-        st.warning("Please enter your OpenAI API key")
-        return
 
-    st.title("Chat with PDF")
+    st.title("💬 Chat with your PDFs")
+    st.markdown("""
+    ### 👋 Hey there!
+    This is a simple demo showing how to chat with your PDF documents using GPT and RAG (Retrieval Augmented Generation).
+    
+    #### Try it out:
+    - Upload one or more PDFs 
+    - Ask questions about their content
+    - The app will use RAG to find relevant info and answer your questions
+    """)
+    
+    st.divider()
     
-    papers = st.file_uploader("Upload PDFs", type=["pdf"], accept_multiple_files=True)
+    # File uploader with custom styling
+    st.markdown("### 📄 Upload your documents")
+    papers = st.file_uploader("Choose PDF files", type=["pdf"], accept_multiple_files=True)
     
     if papers:
+        st.markdown(f"*{len(papers)} files uploaded*")
         if st.button("Process PDFs"):
             process_pdfs(papers, api_key)
     
+    st.divider()
+    
+    if not api_key:
+        st.warning("👆 Please enter your OpenAI API key in the sidebar to start")
+        return
+    
+    # Chat interface
+    st.markdown("### 💭 Chat")
     for message in st.session_state.messages:
         with st.chat_message(message["role"]):
             st.markdown(message["content"])
     
-    if prompt := st.chat_input("Ask about your PDFs"):
+    if prompt := st.chat_input("Ask about your PDFs..."):
         st.session_state.messages.append({"role": "user", "content": prompt})
         
         with st.chat_message("user"):
@@ -110,7 +137,7 @@ def main():
             
         with st.chat_message("assistant"):
             if st.session_state.chain is None:
-                response = "Please upload and process a PDF first."
+                response = "Please upload and process a PDF first! 👆"
             else:
                 with st.spinner("Thinking..."):
                     result = st.session_state.chain({"question": prompt})