app.py 2

app.py

@@ -1,12 +1,12 @@
-  import numpy as np # linear algebra
-  import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
-  import matplotlib.pyplot as plt
-  import gradio as gr
-  from sklearn.model_selection import train_test_split
-  from sklearn.linear_model import LogisticRegression
-  from sklearn.metrics import accuracy_score
-  from sklearn.model_selection import cross_val_score
-  from sklearn.metrics import r2_score
+import numpy as np # linear algebra
+import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
+import matplotlib.pyplot as plt
+import gradio as gr
+from sklearn.model_selection import train_test_split
+from sklearn.linear_model import LogisticRegression
+from sklearn.metrics import accuracy_score
+from sklearn.model_selection import cross_val_score
+from sklearn.metrics import r2_score
   
 def main(Pregnancies,Glucose_level,BP,skin_thickness,Insulin,BMI,Diabetes_Function,Age):