Upload folder using huggingface_hub

app.py

@@ -1,6 +1,6 @@
 
-import os
-os.environ["HF_HOME"] = "/tmp/hf_cache"
+# import os
+# os.environ["HF_HOME"] = "/tmp/hf_cache"
 import streamlit as st
 from PIL import Image
 import torch
@@ -361,10 +361,10 @@ with col2:
     - The model’s responses may contain **<span style='color:#dc3545; font-weight:bold;'>🤖 hallucinations or incorrect information</span>**. 
     - Always consult a **<span style='color:#dc3545; font-weight:bold;'>👨‍⚕️ medical professional</span>** for accurate diagnosis and advice.
 """, unsafe_allow_html=True)
-# st.markdown("""
-#     <img src="//www.clustrmaps.com/map_v2.png?d=uM9v_RTadJ3hLvNbBSQ2PZ0KNPABbilkZgDyiXmuC0M&cl=ffffff" 
-#          style="position:absolute;top:-9999px;left:-9999px;width:1px;height:1px;visibility:hidden;opacity:0;pointer-events:none;z-index:-1;display:none;" />
-# """, unsafe_allow_html=True)
+st.markdown("""
+    <img src="//www.clustrmaps.com/map_v2.png?d=uM9v_RTadJ3hLvNbBSQ2PZ0KNPABbilkZgDyiXmuC0M&cl=ffffff" 
+         style="position:absolute;top:-9999px;left:-9999px;width:1px;height:1px;visibility:hidden;opacity:0;pointer-events:none;z-index:-1;display:none;" />
+""", unsafe_allow_html=True)
 # Run inference after upload
 if st.button("Run Inference 🏃‍♂️"):
     if image is None: