Update

app.py

@@ -6,13 +6,14 @@ import time
 from langdetect import detect
 import nltk
 
- nltk.download('punkt')
+# Download the 'punkt' tokenizer
+nltk.download('punkt')
+
 # Load environment variables from .env file
 API_KEY = os.getenv('API_KEY')
 
 print(f"API_KEY: {'Loaded' if API_KEY else 'Not Loaded'}")
 
-
 # Ensure the API key is loaded
 if not API_KEY:
     raise ValueError("API_KEY is missing. Please set it in the secret variables in the Hugging Face Spaces settings.")
@@ -20,7 +21,6 @@ if not API_KEY:
 # Define the Hugging Face API URL
 API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
 
-
 # Set up headers for the API request
 headers = {"Authorization": f"Bearer {API_KEY}"}
 
@@ -35,8 +35,6 @@ def query(payload):
             return result
     return {"error": "Model is still loading. Please try again later."}
 
-
-
 # Function to summarize text
 def summarize(text, minL=20, maxL=300):
     output = query({
@@ -54,18 +52,18 @@ def summarize(text, minL=20, maxL=300):
         return "Error: 'summary_text' key not found in the response."
     return output[0]['summary_text']
 
-def Choices(choice,input_text,minL,maxL):
-    if choice=="URL":
+def Choices(choice, input_text, minL, maxL):
+    if choice == "URL":
         try:
-            article=Article(input_text,language="en")
+            article = Article(input_text, language="en")
             article.download()
             article.parse()
             article.nlp()
-            text=article.text
+            text = article.text
         except Exception as e:
             return f"Error: Unable to fetch article. {str(e)}"
     else:
-        text=input_text
+        text = input_text
     return summarize(text, minL, maxL)
 
 # Create Gradio interface
@@ -84,3 +82,4 @@ demo = gr.Interface(
 
 # Launch the interface
 demo.launch()
+