Update app.py

app.py

@@ -2,11 +2,44 @@ import streamlit as st
 import pandas as pd
 from io import StringIO
 
-st.markdown("""   
+import streamlit as st
+import base64
+import requests
+
+# Function to fetch and encode the image to base64
+def get_image_as_base64(url):
+    response = requests.get(url)
+    if response.status_code == 200:
+        # Convert the image to base64
+        return base64.b64encode(response.content).decode("utf-8")
+    else:
+        return None
+
+# Function to create a download link for the image
+def create_download_link(filename, base64_str):
+    href = f'<a href="data:file/png;base64,{base64_str}" download="{filename}">Download Image</a>'
+    return href
+
+# URL of the image you want to display and download
+image_url = "https://cdn-uploads.huggingface.co/production/uploads/620630b603825909dcbeba35/AswjRkg3QMR503fAScTrV.png"
+image_base64 = get_image_as_base64(image_url)
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/620630b603825909dcbeba35/AswjRkg3QMR503fAScTrV.png)
+if image_base64 is not None:
+    # Display the image using the base64 string
+    with st.sidebar:
+        st.markdown(f"![image](data:image/png;base64,{image_base64})")
+        
+        # Provide a download link for the image
+        download_link = create_download_link("downloaded_image.png", image_base64)
+        st.markdown(download_link, unsafe_allow_html=True)
+else:
+    st.sidebar.write("Failed to load the image.")
 
-   """)
+    
+with st.sidebar:
+    st.markdown("""
+        ![image](https://cdn-uploads.huggingface.co/production/uploads/620630b603825909dcbeba35/AswjRkg3QMR503fAScTrV.png)
+    """)
 
 
 # Sample data for the inline CSV