Update app.py

app.py

@@ -124,7 +124,15 @@ def load_document_and_cache(file_path):
         return None, None, None
 
 # ==============================
-# Updated Main Workflow with Unique Temp Files
+# ==============================
+# Main Streamlit UI and Workflow (updated)
+# ==============================
+
+st.title("🚀 DeepSeek QA: Optimized Caching Dashboard")
+
+# File uploader moved HERE
+uploaded_file = st.file_uploader("📝 Upload your document (.txt)", type="txt")
+
 if uploaded_file:
     # Generate unique temp filename
     temp_file_path = f"temp_doc_{uuid.uuid4().hex}.txt"
@@ -134,10 +142,14 @@ if uploaded_file:
     # Process document with token limit
     cache, origin_len, doc_text = load_document_and_cache(temp_file_path)
     
-    # Show token count in preview
+    # Show document preview with token count
     with st.expander("📄 Document Preview"):
-        token_count = len(tokenizer.encode(doc_text))
-        st.caption(f"Tokens: {token_count}/{MAX_CONTEXT_TOKENS}")
-        st.text(doc_text[:400] + " [...]" if len(doc_text) > 400 else doc_text)
-
-# ... (rest of the code remains similar but uses updated functions)
+        if doc_text:
+            token_count = len(tokenizer.encode(doc_text))
+            st.caption(f"Tokens: {token_count}/{MAX_CONTEXT_TOKENS}")
+            st.text(doc_text[:400] + " [...]" if len(doc_text) > 400 else doc_text)
+    
+    # Rest of your workflow...
+else:
+    st.info("Please upload a document to start.")
+    resource_dashboard(None, None)