MaxJalo commited on
Commit
052e9fc
·
verified ·
1 Parent(s): d1fc4e2

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -7
app.py CHANGED
@@ -16,13 +16,13 @@ X_min = np.min(X_for_train, axis=0)
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  X_max = np.max(X_for_train, axis=0)
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  def webai(user_input):
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- user_input_clear = user_input
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- input_data = [user_input_clear]
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- input_data_scaled = (input_data - X_min) / (X_max - X_min)
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  # Получаем предсказание от модели
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- predicted_result_scaled = model.predict(input_data_scaled)
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- otv = round(predicted_result_scaled[0][0] * 100, 2)
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  if otv < 0:
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  otv = 0
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  elif otv > 100:
@@ -43,7 +43,7 @@ def webai(user_input):
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  def pomoch(age, gender, height, weight, ap_hi, ap_lo, cholesterol, gluc, smoke, alco, active):
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  try:
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  X = [int(age), gender, int(height), int(weight), int(ap_hi), int(ap_lo), float(cholesterol), float(gluc), smoke,
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- alco, active]
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  X[0] = today().year - X[0]
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  if X[1] == "Мужской":
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  X[1] = 0
@@ -92,4 +92,4 @@ demo = gr.Interface(
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  ],
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  'text')
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- demo.launch()
 
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  X_max = np.max(X_for_train, axis=0)
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  def webai(user_input):
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+ user_input_clear = user_input
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+ input_data = [user_input_clear]
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+ input_data_scaled = (input_data - X_min) / (X_max - X_min)
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  # Получаем предсказание от модели
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+ predicted_result_scaled = model.predict(input_data_scaled)
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+ otv = round(predicted_result_scaled[0][0] * 100, 2)
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  if otv < 0:
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  otv = 0
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  elif otv > 100:
 
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  def pomoch(age, gender, height, weight, ap_hi, ap_lo, cholesterol, gluc, smoke, alco, active):
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  try:
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  X = [int(age), gender, int(height), int(weight), int(ap_hi), int(ap_lo), float(cholesterol), float(gluc), smoke,
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+ alco, active]
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  X[0] = today().year - X[0]
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  if X[1] == "Мужской":
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  X[1] = 0
 
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  ],
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  'text')
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+ demo.launch()