added the cover image

app.py

@@ -2,6 +2,8 @@ import streamlit as st
 import os
 import google.generativeai as genai
 from huggingface_hub import hf_hub_download
+from PIL import Image
+import base64
 
 MODEL_ID = "gemini-2.0-flash-exp"  # Keep the model ID as is
 try:
@@ -37,8 +39,6 @@ if "uploaded_file_part" not in st.session_state:  # Store the file *part*
 if "uploaded_pdf_path" not in st.session_state:
     st.session_state.uploaded_pdf_path = download_pdf() 
 
-
-
 def multimodal_prompt(pdf_path, text_prompt):
     """
     Sends a multimodal prompt to Gemini, handling file uploads efficiently.
@@ -75,6 +75,17 @@ procurement_types = ["Competitive Bidding", "Limited Source Bidding", "Competiti
                      "Repeat Order", "Small Value Procurement", "Negotiated Procurement",
                      "Direct Sales", "Direct Procurement for Science, Technology and Innovation"]
 
+def display_download_button(file_path, file_name):
+    try:
+        with open(file_path, "rb") as f:
+            file_bytes = f.read()
+        b64 = base64.b64encode(file_bytes).decode()
+        href = f'<a href="data:application/pdf;base64,{b64}" download="{file_name}">Download the source document (PDF)</a>'
+        st.markdown(href, unsafe_allow_html=True)
+    except FileNotFoundError:
+        st.error("File not found for download.")
+    except Exception as e:
+        st.error(f"Error during download: {e}")
 
 # --- Sidebar ---
 st.sidebar.title("🤖 Visual Q and A")
@@ -102,6 +113,10 @@ Key features:
 with st.expander("How to use this App"):
     st.markdown(about)
 
+# --- Load the image ---
+image = Image.open("procurement.png")
+st.image(image, width=400)
+
 # --- Tabs ---
 tab1, tab2, tab3 = st.tabs(["Q and A", "Glossary", "Checklists"])
 
@@ -337,4 +352,7 @@ with tab3:
             filepath = st.session_state.uploaded_pdf_path
             text_prompt = f"Use the provided document to create a checklist in the context of {selected_role} and {selected_procurement_type} task: {user_task}"
             response = multimodal_prompt(filepath, text_prompt)  # Use the downloaded filepath
-            st.markdown(f"**Response:** {response}")
+            st.markdown(f"**Response:** {response}")
+
+if st.session_state.uploaded_pdf_path:
+    display_download_button(st.session_state.uploaded_pdf_path, "Generative_AI_and_Education.pdf")

requirements.txt

@@ -2,4 +2,5 @@ streamlit
 requests
 pdfplumber
 huggingface_hub
-google-generativeai
+google-generativeai
+Pillow