Update app.py

app.py

@@ -4,25 +4,12 @@ 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"
+model="mat27/medmnistPrueba")
+
 @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>).
-    """
-    # 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"]}
+def generate(imagen: np.array):
+    
+    output = pipe(imagen)
+    
+    return {"Precisión: ": output}