Update src/streamlit_app.py

src/streamlit_app.py

@@ -175,19 +175,13 @@ if 'chunks' not in st.session_state:
 if 'response' not in st.session_state:
     st.session_state.response=''
 # Sidebar document upload
-st.sidebar.title("Uploading your document 📄")
-uploaded_file = st.sidebar.file_uploader(
-    "Upload your document 📄",
-    type=["pdf"],
-    label_visibility="collapsed"
-)
-upload_button=st.sidebar.button("Upload Document")
+
 uploaded_file = st.sidebar.file_uploader(
     "Upload your PDF",
     type=["pdf"],
     key="pdf_uploader",
 )
-
+upload_button=st.sidebar.button("Uploading your document 📄")
 def extract_pdf_text_from_bytes(file_bytes: bytes) -> str:
     reader = PdfReader(io.BytesIO(file_bytes))
     pages_text = []
@@ -195,30 +189,30 @@ def extract_pdf_text_from_bytes(file_bytes: bytes) -> str:
         txt = p.extract_text() or ""
         pages_text.append(txt)
     return "\n".join(pages_text)
-
-if uploaded_file is not None:
-    with st.spinner("Reading & embedding your PDF..."):
-        # Important: read bytes once on this rerun
-        file_bytes = uploaded_file.read()
-        # (Optional) if you ever re-use uploaded_file later, do: uploaded_file.seek(0)
-
-        # Extract text purely in-memory (no /tmp files, no PyPDFLoader)
-        file_text = extract_pdf_text_from_bytes(file_bytes)
-
-        # Persist to session state
-        st.session_state.file_text = file_text
-
-        # Build embeddings (uses your existing text_splitter + encoder)
-        chunks = text_splitter.split_text(file_text)
-        embeddings = st.session_state.encoder.encode(
-            chunks, convert_to_tensor=True, show_progress_bar=True
-        ).cpu().numpy()
-
-        st.session_state.embeddings = embeddings
-        st.session_state.chunks = chunks
-        st.session_state.doc_flag = True
-
-    st.success(f"Loaded: {uploaded_file.name} — {len(st.session_state.chunks)} chunks")
+if upload_button:
+    if uploaded_file is not None:
+        with st.spinner("Reading & embedding your PDF..."):
+            # Important: read bytes once on this rerun
+            file_bytes = uploaded_file.read()
+            # (Optional) if you ever re-use uploaded_file later, do: uploaded_file.seek(0)
+    
+            # Extract text purely in-memory (no /tmp files, no PyPDFLoader)
+            file_text = extract_pdf_text_from_bytes(file_bytes)
+    
+            # Persist to session state
+            st.session_state.file_text = file_text
+    
+            # Build embeddings (uses your existing text_splitter + encoder)
+            chunks = text_splitter.split_text(file_text)
+            embeddings = st.session_state.encoder.encode(
+                chunks, convert_to_tensor=True, show_progress_bar=True
+            ).cpu().numpy()
+    
+            st.session_state.embeddings = embeddings
+            st.session_state.chunks = chunks
+            st.session_state.doc_flag = True
+    
+        st.success(f"Loaded: {uploaded_file.name} — {len(st.session_state.chunks)} chunks")
 
 st.sidebar.write("Before making the your faviorate charecter sound, authenicate your code")
 Authenication=st.sidebar.button('Authenicate')