deploy

app.py

@@ -5,9 +5,14 @@ import torch
 import matplotlib.pyplot as plt
 import time
 import os
-os.environ["HF_HOME"] = "/app/hf_cache"
+import os
+
+# Use a custom cache directory for Hugging Face models
+os.environ["HF_HOME"] = "./hf_cache"
+
+# Ensure directory exists and is writable
+os.makedirs("./hf_cache", exist_ok=True)
 
-# Load model and tokenizer
 model_name = "tabularisai/multilingual-sentiment-analysis"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
@@ -38,7 +43,9 @@ st.title("Sentiment Analysis App")
 st.write("Upload a CSV or Excel file containing text data for sentiment analysis.")
 
 # File upload
-uploaded_file = st.file_uploader("Upload a CSV or Excel file", type=["csv", "xlsx"])
+# uploaded_file = st.file_uploader("Upload a CSV or Excel file", type=["csv", "xlsx"])
+uploaded_file = st.file_uploader("Upload a CSV or Excel file", type=["csv", "xlsx"], accept_multiple_files=False)
+
 
 if uploaded_file is not None:
     try: