changed endpoint

main.py

@@ -34,20 +34,9 @@ class Item(pydantic.BaseModel):
 def index() -> FileResponse:
 	return FileResponse(path="/app/static/index.html", media_type="text/html")
 
-@app.post("/unikp-predict")
+@app.post("/")
 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": {
@@ -55,7 +44,6 @@ def predict(item: Item):
 			"smiles": item.smiles
 		}
 	})
-	"""
 
 	return result
 

static/script.js

@@ -2,32 +2,21 @@
 
 document.querySelector("#predict-form").addEventListener("submit", async (e) => {
 	e.preventDefault();
-	/*
+
 	const sequence = document.querySelector("#sequence").value;
 	const smiles = document.querySelector("#substrate").value;
 
-	console.log(sequence);
-
 	const data = await prediction(sequence, smiles);
 
 	document.querySelector("#km-result").innerText = data.km;
 	document.querySelector("#kcat-result").innerText = data.kcat;
 	document.querySelector("#vmax-result").innerText = data.vmax;
-	*/
-
-	await fetch("unikp-predict", {
-		method: "POST",
-		body: {
-			sequence: "MGLSDGEWQLVLNVWGKVEADIAGHGQEVLIRLFKGHPETLEKFDKFKHLKSEDEMKASEDLKKHGATVLTALGGILKKKGHHEAEIKPLAQSHATKHKIPIKYLEFISEAIIHVLHSRHPGDFGADAQGAMNKALELFRKDIAAKYKELGYQG",
-			smiles: "CC(C)C1=CC=C(C=C1)C(=O)NC1=CC=C(C=C1)C1=CC=CC=C1",
-		}
-	});
 
 });
 
 const prediction = async (sequence, smiles) => {
 	
-	const response = await fetch("unikp-predict", {
+	const response = await fetch("/", {
 		method: "POST",
 		body: {
 			sequence: sequence,