Update app.py

app.py

@@ -1,28 +1,22 @@
-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("text-search-semantic", 
-model="NousResearch/Llama-2-13b-hf")
- 
+pipe = pipeline("text2text-generation", model="NousResearch/Llama-2-13b-hf")
+
 # 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 
+# 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"
 @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>).
+    from the given input text. The model used is `NousResearch/Llama-2-13b-hf`,
+    which can be found [here](https://huggingface.co/NousResearch/Llama-2-13b-hf).
     """
     # 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"]}