Update app.py

app.py

@@ -1,10 +1,10 @@
 import gradio as gr
-import torch
+#import torch
 
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+#from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-tokenizer = AutoTokenizer.from_pretrained("Einmalumdiewelt/T5-Base_GNAD")
-model = AutoModelForSeq2SeqLM.from_pretrained("Einmalumdiewelt/T5-Base_GNAD")
+#tokenizer = AutoTokenizer.from_pretrained("Einmalumdiewelt/T5-Base_GNAD")
+#model = AutoModelForSeq2SeqLM.from_pretrained("Einmalumdiewelt/T5-Base_GNAD")
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model.to(device)
 
@@ -27,9 +27,12 @@ examples = [["summarize: Maschinelles Lernen ist ein Oberbegriff für die „kü
 #            description=description,
 #            examples=examples)
             
-interface = gr.Interface.load(fn=summarize,
+interface = gr.Interface.load(summarize
             title=title,
             description=description,
             examples=examples)     
             
-interface.launch(share=True)
+interface.launch(share=True)
+
+
+