Update app.py

app.py

@@ -1,27 +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")
- 
-# Define a function to handle the GET request at `/generate`
-# The generate() function is defined as a FastAPI route that takes a 
-# string parameter called text. The function generates text based on the # input using the pipeline() object, and returns a JSON response 
-# containing the generated text under the key "output"
+
+
+# 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):
     """
     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>).
+    can be found [here](https://huggingface.co/google/flan-t5-small).
     """
-    # Use the pipeline to generate text from the given input text
     output = pipe(text)
-     
-    # Return the generated text in a JSON response
     return {"output": output[0]["generated_text"]}