Update app.py

app.py

@@ -11,12 +11,10 @@ import torch
 model_path = "leadingbridge/summarization"
 tokenizer = AutoTokenizer.from_pretrained(model_path)
 model = T5ForConditionalGeneration.from_pretrained(model_path)
-text = "This is the initial testing text"
-inputs = tokenizer.encode(text, return_tensors="pt")
-summary_ids = model.generate(inputs)
-summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+
 def summarize_text(text):
-	# Tokenize the input text
+	text = "This is the initial testing text"
+    # Tokenize the input text
 	inputs = tokenizer.encode(text, return_tensors="pt")
 	# Generate the summary
 	summary_ids = model.generate(inputs)