Update prompt handling

handler.py

@@ -27,7 +27,7 @@ class EndpointHandler():
         Return:
             A :obj:`dict`:. base64 encoded image
         """
-        inputs = data.pop("inputs", data)
+        prompt = data.pop("inputs", data)
         params = data.pop("parameters", data)
 
         # hyperparamters
@@ -41,7 +41,7 @@ class EndpointHandler():
         generator = torch.Generator(device).manual_seed(manual_seed)
 
         # run inference pipeline
-        out = self.pipe(inputs, 
+        out = self.pipe(prompt, 
                         generator=generator,             
                         num_inference_steps=num_inference_steps,
                         guidance_scale=guidance_scale,