Update app.py

app.py

@@ -1,20 +1,18 @@
+import os
 import gradio as gr
 import requests
 from bs4 import BeautifulSoup
 
-# Hugging Face API config
 API_URL = "https://api-inference.huggingface.co/models/cardiffnlp/twitter-roberta-base-sentiment"
-HF_TOKEN = "your-token"  # Replace with your token
+HF_TOKEN = os.getenv("HF_TOKEN")
 headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 
-# Label mapping
 label_map = {
     "LABEL_0": "Negative",
     "LABEL_1": "Neutral",
     "LABEL_2": "Positive"
 }
 
-# Fetch and extract text from a URL
 def fetch_url_text(url):
     try:
         headers_req = {'User-Agent': 'Mozilla/5.0'}
@@ -25,7 +23,6 @@ def fetch_url_text(url):
     except Exception as e:
         return f"URL error: {e}"
 
-# Sentiment analysis logic
 def analyze_sentiment(text_input, file_upload, url_input):
     text = ""
     if file_upload:
@@ -55,7 +52,6 @@ def analyze_sentiment(text_input, file_upload, url_input):
     except Exception as e:
         return f"❌ JSON parse error: {e}"
 
-# Gradio UI
 demo = gr.Interface(
     fn=analyze_sentiment,
     inputs=[