mdreyer5 commited on
Commit
f9c96d9
1 Parent(s): b1d35fc

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -7
app.py CHANGED
@@ -2,7 +2,7 @@
2
  import gradio as gr
3
 
4
  # g. define Dropdown data type
5
- input_module1 = gr.inputs.Dropdown(choices=["KNN", "Softmax", "Deep Neural", "SVM", "Decision Tree","Random Forest","CNN"], label = "Model Selection")
6
  # b. define image data type
7
  input_module2 = gr.inputs.Dropdown(choices=["image1", "image2", "image3", "image4","image5"], label = "Sample Image")
8
 
@@ -81,12 +81,6 @@ def multi_inputs(input1, input2):
81
  loaded_model = pickle.load(open('randomforest.sav', 'rb'))
82
  image = img.reshape((1, -1))
83
  y_test_pred = loaded_model.predict(image)
84
-
85
- if input1 == "CNN":
86
- loaded_model = pickle.load(open('CNN.sav', 'rb'))
87
- img = img.reshape((1, -1))
88
- y_test_pred = loaded_model.predict(img)
89
- y_test_pred = np.argmax(y_test_pred,axis=1)
90
 
91
  result = y_test_pred[0]
92
 
 
2
  import gradio as gr
3
 
4
  # g. define Dropdown data type
5
+ input_module1 = gr.inputs.Dropdown(choices=["KNN", "Softmax", "Deep Neural", "SVM", "Decision Tree","Random Forest"], label = "Model Selection")
6
  # b. define image data type
7
  input_module2 = gr.inputs.Dropdown(choices=["image1", "image2", "image3", "image4","image5"], label = "Sample Image")
8
 
 
81
  loaded_model = pickle.load(open('randomforest.sav', 'rb'))
82
  image = img.reshape((1, -1))
83
  y_test_pred = loaded_model.predict(image)
 
 
 
 
 
 
84
 
85
  result = y_test_pred[0]
86