fix model

app.py

@@ -6,7 +6,7 @@ tokenizer = BartTokenizer.from_pretrained('facebook/bart-large-cnn')
 model = BartForConditionalGeneration.from_pretrained('facebook/bart-large-cnn')
 
 
-def generate_summary(text, model, tokenizer):
+def generate_summary(text):
     inputs = tokenizer.encode("summarize: " + text, return_tensors="pt", max_length=1024, truncation=True)
     summary_ids = model.generate(inputs, max_length=150, min_length=50, length_penalty=2.0, num_beams=4, early_stopping=True)
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
@@ -14,7 +14,7 @@ def generate_summary(text, model, tokenizer):
 
 
 def process(text):
-    return generate_summary(text, model, tokenizer)
+    return generate_summary(text)
 
 
 textbox = gr.Textbox(label="Pega el text aca:", placeholder="Texto...", lines=15)