Update app.py

app.py

@@ -1,13 +1,4 @@
-from transformers import AutoModel
 
-access_token = "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"
-
-
-model = AutoModel.from_pretrained("Kartheesh/MLrun",token=access_token,use_auth_token=True)
-
-from datasets import load_dataset
-
-dataset = load_dataset("Kartheesh/MLdataset",use_auth_token=True)
 import gradio as gr
 import numpy as np
 import pandas as pd
@@ -46,6 +37,7 @@ def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emi
 
   #Equation
   total1="2.29209688*(x1)+(-17.24834114)*(x2)+(-34.46449984)*(x3)+441.88734541(x4)+(-10.5704468)*(x5)+3032.3276611889232"
+  eq1=2.29209688*(co2_emission)+(-17.24834114)*(No2_emission)+(-34.46449984)*(so2_emission)+441.88734541(Global_Warming)+(-10.5704468)*(Methane_emission)+3032.3276611889232
   
 
   #1997
@@ -1013,7 +1005,7 @@ def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emi
 
   #app section
   if(year==1996):
-    return total1,y_pred1
+    return total1,eq1
 
   elif(year==1997):
     return total2,y_pred2