Update app.py

app.py

@@ -16,17 +16,17 @@ model = mr.get_model("xgboost_model", version=1)
 
 
 def forecast():
-    x = 0
-    # input_list = [ 0.        , 24        , -0.68645433, -0.06804887, -0.31264014,
-    #    -0.13749569, -0.32063957, -0.2942814 , -0.18460245, -0.41253886,
-    #     0.06395449,  0.71276574, -0.36466156, -1.03879548, -0.65985627,
-    #     0        ,  0        ,  0.12254366,  0.39172671,  0.34205118,
-    #     0.21383452, -1.0216134 ,  0.40277851, -0.34577169, -0.36832646,
-    #    -0.7210296 ,  0        ]
-
-    #res = model.predict(x)
     
-    return 10
+    x = [ 0.        , 24        , -0.68645433, -0.06804887, -0.31264014,
+       -0.13749569, -0.32063957, -0.2942814 , -0.18460245, -0.41253886,
+        0.06395449,  0.71276574, -0.36466156, -1.03879548, -0.65985627,
+        0        ,  0        ,  0.12254366,  0.39172671,  0.34205118,
+        0.21383452, -1.0216134 ,  0.40277851, -0.34577169, -0.36832646,
+       -0.7210296 ,  0        ]
+
+    res = model.predict(np.asarray(x).reshape(1, -1))
+    
+    return res
 
 demo = gr.Interface(
     fn=forecast,