Update app.py

app.py

@@ -1,7 +1,6 @@
 from fastapi import FastAPI
 from transformers import pipeline
 
-
 # NOTE - we configure docs_url to serve the interactive Docs at the root path
 # of the app. This way, we can use the docs as a landing page for the app on Spaces.
 app = FastAPI(docs_url="/")
@@ -13,7 +12,7 @@ def food_endpoint(breed: str):
     from the given input text. The model used is `google/flan-t5-small`, which
     can be found [here](https://huggingface.co/google/flan-t5-small).
     """
-   if breed == 'Labro':
-    return "Dog is healthy!"
-   else :
-    return "Dog is super healthy!"
+    if breed == 'Labro':
+        return "Dog is healthy!"
+    else:
+        return "Dog is super healthy!"