Update app.py

app.py

@@ -3,15 +3,15 @@ import torch
 from transformers import pipeline
 import gradio as gr
 
-def greet(txt):
+def generating_text(txt):
     device = torch.device("cpu")
     pipe = pipeline(
     "text-generation", model="checkpoint-5000", device=device
 )
-    return txt + " "+ pipe(txt, num_return_sequences=1)[0]["generated_text"]
+    return pipe(txt, num_return_sequences=1)[0]["generated_text"]
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo = gr.Interface(fn=generating_text, inputs="text", outputs="text")
     
-demo.launch()  
+demo.launch(share=True)  
 # device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")