Update app.py

app.py

@@ -1,19 +1,20 @@
 from fastapi import FastAPI
 from transformers import pipeline
 
-#Create a new FastAPI app instance
-app = FastAPI()
 
-#Initialize the text generation pipeline
-#This function will be able to generate text
-#given an input
-pipe = pipeline("text2text-generation",
-model="google/flan-t5-small")
+# 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="/")
+
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
 
 @app.get("/generate")
 def generate(text: str):
-    #Use the pipeline to generate text from the given input text
+    """
+    Using the text2text-generation pipeline from `transformers`, generate text
+    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).
+    """
     output = pipe(text)
-
-    #Return the generated text in a JSON response
     return {"output": output[0]["generated_text"]}