Update app.py

app.py

@@ -8,7 +8,7 @@ df = df.dropna(axis='columns')
 df = df.drop(['id'],axis=1)
 
 headers = ["diagnosis","radius_mean","texture_mean","perimeter_mean","area_mean","smoothness_mean","compactness_mean","concavity_mean","concave points_mean","symmetry_mean","fractal_dimension_mean","radius_se","texture_se","perimeter_se","area_se","smoothness_se","compactness_se","concavity_se","concave points_se","symmetry_se","fractal_dimension_se","radius_worst","texture_worst","perimeter_worst","area_worst","smoothness_worst","compactness_worst","concavity_worst","concave points_worst","symmetry_worst","fractal_dimension_worst"]
-inputs = [gr.Dataframe(headers = headers, row_count = (2, "dynamic"), col_count=(31,"dynamic"), label="Input Data", interactive=1)]
+inputs = [gr.Dataframe(headers = headers, row_count = (2, "dynamic"), col_count=(31,"dynamic"), label="Input Data", interactive=False)]
 outputs = [gr.Dataframe(row_count = (2, "dynamic"), col_count=(1, "fixed"), label="Predictions", headers=["Results"])]
 
 def classify_cell(df_input):