Update app.py

app.py

@@ -13,8 +13,14 @@ model = joblib.load(model_path)
 def predict(distillate_to_feed_ratio, feed_stage, top_stage_pressure, temp, feed_flow_rate):
     X = np.array([[distillate_to_feed_ratio, feed_stage, top_stage_pressure, temp, feed_flow_rate]])
     pred = model.predict(X)
-    naptha = round(float(pred[0][0]), 4)
-    diesel  = round(float(pred[0][1]), 4)
+
+    maxLimit = 0.9999
+    minLimit = 0.0001
+
+    pred = np.clip(pred, minLimit, maxLimit)
+    
+    naptha = round(min(float(pred[0][0]), 0.9999), 4)
+    diesel  = round(min(float(pred[0][1]), 0.9999), 4)
 
     return naptha, diesel