Updated app.py

app.py

@@ -8,7 +8,7 @@ Text_summary = pipeline("summarization", model="facebook/bart-large-cnn", torch_
 # Define a function to estimate token count from word count
 def estimate_tokens(word_count):
     # Approximate tokens as 1.5 times the word count
-    return int(word_count * 1.5)
+    return int(word_count * 1)
 
 # Define the summarization function
 def summary(input, word_count):