try again

app.py

@@ -17,11 +17,11 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 
 # Then create the pipeline with the model and tokenizer
-pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer)
+#pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer)
 
 @spaces.GPU
 def greet(name):
-    return pipe(name)
+    return "what"
 
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()