Update app.py

app.py

@@ -2,7 +2,7 @@ import numpy as np
 import pandas as pd
 import gradio as gr
 def greet(year,co2_emission,no2_emission,so2_emission,global_warming,methane_emission):
-    data=pd.read_excel("/content/bara shigiri - Copy.xlsx")
+    data=pd.read_excel("bara shigiri - Copy.xlsx")
     x=data.iloc[:,1:].values
     y=data.iloc[:,0].values
     np.reshape(y,(-1,1))
@@ -11,15 +11,15 @@ def greet(year,co2_emission,no2_emission,so2_emission,global_warming,methane_emi
     X_train, X_test, y_train, y_test = train_test_split(x,y,test_size=0.33,random_state=42)
     reg=LinearRegression().fit(X_train,y_train)
     eqn="-1.50608097*(x1) +(10.05272793)*(x2) +(-10.52662062)*(x3) +336.60218769*(x4) +(-23.82408478)*(x5) +12129.976853563849"
-    #y_pred=reg.predict([[co2_emission,no2_emission,so2_emission,global_warming,methane_emission]])
+    y_pred=reg.predict([[co2_emission,no2_emission,so2_emission,global_warming,methane_emission]])
 
     if(year>=2023):
-        return eqn
+        return eqn,y_pred
 
 demo = gr.Interface(
     fn=greet,
-    inputs=['number'],
-    outputs=['text'],
+    inputs=['number','number','number','number','number','number'],
+    outputs=['text','number'],
     title="BARA SHIGRI",
     description="Bara Shigri feeds the Chandra River which after its confluence at Tandi with the Bhaga River is known as Chandrabhaga or Chenab."
     "According to Hugh Whistler’s 1924 writing, Shigri is applied par-excellence to one particular glacier that emerges from the mountains on the left bank of the Chenab. It is said to be several miles long, and the snout reaches right down to the river, lying athwart the customary road from Kulu to Spiti... In 1836 this glacier dammed the Chenab River, causing the formation of a large lake, which eventually broke loose and carried devastation down the valley."