add error handling and input params

app.py

@@ -1,30 +1,36 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, HTTPException
 from transformers import pipeline
- 
+
 # Create a new FastAPI app instance
 # 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="/")
- 
+
 # Initialize the text generation pipeline
-# This function will be able to generate text
-# given an input.
-pipe = pipeline("text2text-generation", 
+# This pipeline is able to generate text using the 
+# google/flan-t5-small model.
+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"
+# This function will use the model to generate text based on the input text
+# It also allows you to specify the maximum length of the generated text
 @app.get("/generate")
-def generate(text: str):
+def generate(text: str, max_length: int = 50):
     """
     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>).
+    Args:
+        text: Input text to generate from
+        max_length: Maximum length of the generated output
+    Returns:
+        output: Json response containing the generated text
     """
-    # 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"]}
+    try:
+         # Use the pipeline to generate text from the given input text
+        output = pipe(text, max_length=max_length)
+        # Return the generated text in a JSON response
+        return {"output": output[0]["generated_text"]}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")