text updated

app.py

@@ -16,9 +16,9 @@ summarizer = pipeline("summarization", model="philschmid/bart-large-cnn-samsum")
 @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>).
+    Using the text2text-generation pipeline from `transformers`, summerize text
+    from the given input text. The model used is `philschmid/bart-large-cnn-samsum`, which
+    can be found [here](<https://huggingface.co/philschmid/bart-large-cnn-samsum>).
     """
     # Use the pipeline to generate text from the given input text
     output = summarizer(conversation)