upd

src/streamlit_app.py

@@ -2,10 +2,17 @@ import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 import os
 
+# Disable Streamlit usage stats to avoid permission issues
+os.environ["STREAMLIT_BROWSER_GATHER_USAGE_STATS"] = "false"
+
+# Use /tmp which is usually writable in containers
+os.environ["HF_HOME"] = "/tmp/huggingface"
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface"
+
 @st.cache_resource
 def load_model():
-    # Create a local cache directory
-    cache_dir = "./model_cache"
+    # Ensure the cache directory exists
+    cache_dir = "/tmp/model_cache"
     os.makedirs(cache_dir, exist_ok=True)
     
     tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small", cache_dir=cache_dir)