test

main.py

@@ -18,12 +18,13 @@ import pydantic
 app = FastAPI()
 
 app.mount("/", StaticFiles(directory="static", html=True), name="static")
-
+"""
 tokenizer = T5Tokenizer.from_pretrained(
 			"Rostlab/prot_t5_xl_half_uniref50-enc", do_lower_case=False, torch_dtype=torch.float16)
 
 model = T5EncoderModel.from_pretrained(
 			"Rostlab/prot_t5_xl_half_uniref50-enc")
+"""
 
 class Item(pydantic.BaseModel):
 	sequence: str
@@ -35,6 +36,18 @@ def index() -> FileResponse:
 
 @app.post("/predict")
 def predict(item: Item):
+
+	sequence = item.sequence
+	smiles = item.smiles
+
+	result = {
+		"Km": 0.0,
+		"Kcat": 0.0,
+		"Vmax": 0.0
+	}
+
+
+	"""
 	endpointHandler = EndpointHandler()
 	result = endpointHandler.predict({
 		"inputs": {
@@ -42,6 +55,7 @@ def predict(item: Item):
 			"smiles": item.smiles
 		}
 	})
+	"""
 
 	return result