Update app.py

app.py

@@ -145,7 +145,7 @@ def query_vector_db(query, vector_db):
     return chat_completion.choices[0].message.content
 
 # Streamlit app
-st.title("Interactive RAG-Based Application")
+st.title("Pdf reading AI Application")
 
 # Upload PDF
 uploaded_file = st.file_uploader("Upload a PDF document", type=["pdf"])
@@ -157,15 +157,15 @@ if uploaded_file:
 
     # Extract text
     text = extract_text_from_pdf(pdf_path)
-    st.write("PDF Text Extracted Successfully!")
+    # st.write("PDF Text Extracted Successfully!")
 
     # Chunk text
     chunks = chunk_text(text)
-    st.write("Text Chunked Successfully!")
+    # st.write("Text Chunked Successfully!")
 
     # Generate embeddings and store in FAISS
     vector_db = create_embeddings_and_store(chunks)
-    st.write("Embeddings Generated and Stored Successfully!")
+    # st.write("Embeddings Generated and Stored Successfully!")
 
     # Interactive chat section
     st.write("### Interactive Chat Section")