Update app.py

app.py

@@ -16,14 +16,18 @@ from textblob import TextBlob
 from spacy import displacy
 import gradio as gr
 
-# HuggingFace login
-login(token=Gemma)
+# Retrieve the Hugging Face token from environment variables
+hf_token = os.getenv("Gemma")
 
-# Initialize spaCy model and other NLP tools
+# Initialize spaCy model
 nlp = spacy.load("en_core_web_sm")
 
-# Download the Gemma 2 model
-summarizer = pipeline("summarization", model="google/gemma-2-2b-it")
+# Initialize the Hugging Face pipeline with authentication
+summarizer = pipeline(
+    "summarization",
+    model="google/gemma-2-2b-it",
+    use_auth_token=hf_token  # Use the token for authenticated access
+)
 
 # Text preprocessing
 def preprocess_text(text):