Upload main.py

main.py

@@ -20,9 +20,7 @@ pipe = pipeline("text2text-generation", model="google/flan-t5-large")
 @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).
+    deployed flan-t5-large model as backend
     """
     output = pipe(text)
     return {"output": output[0]["generated_text"]}