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Update app.py
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app.py
CHANGED
@@ -5,38 +5,33 @@ from sklearn import tree
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import gradio as gr
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def multiline(textData):
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print("inp", textData)
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col=["HighBP","HighChol","CholCheck","BMI","Smoker","Stroke","HeartDiseaseorAttack","PhysActivity","Fruits"
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,"Veggies","HvyAlcoholConsump","AnyHealthcare","NoDocbcCost","GenHlth","MentHlth","PhysHlth","DiffWalk"
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,"Sex","Age","Education","Income"]
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empty_array = []
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for line in textData.split("\n"):
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abc = list(map(float, line.split(",")));
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print(abc)
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empty_array = np.append(empty_array, np.array([abc]), axis=0)
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print(empty_array)
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ddf = pd.DataFrame(empty_array, columns=col)
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print(ddf)
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print(loaded_model.predict(ddf))
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return ddf
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# Load the Random Forest CLassifier model
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filename = 'model.pkl'
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loaded_model = pickle.load(open(filename, 'rb'))
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print(loaded_model)
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def predict2(content):
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multiple_records = multiline(content)
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import gradio as gr
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# Load the Random Forest CLassifier model
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filename = 'model.pkl'
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loaded_model = pickle.load(open(filename, 'rb'))
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print(loaded_model)
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def multiline(textData):
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print("inp", textData)
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col=["HighBP","HighChol","CholCheck","BMI","Smoker","Stroke","HeartDiseaseorAttack","PhysActivity","Fruits"
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,"Veggies","HvyAlcoholConsump","AnyHealthcare","NoDocbcCost","GenHlth","MentHlth","PhysHlth","DiffWalk"
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,"Sex","Age","Education","Income"]
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#empty_array = []
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empty_array = np.empty((0, 21), float)
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for line in textData.split("\n"):
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abc = list(map(float, line.split(",")));
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print(abc)
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empty_array = np.append(empty_array, np.array([abc]), axis=0)
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print("empty_array")
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print(empty_array)
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ddf = pd.DataFrame(empty_array, columns=col)
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print("ddf")
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print(ddf)
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#print(loaded_model.predict(ddf))
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return ddf
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def predict2(content):
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multiple_records = multiline(content)
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