DHEIVER commited on
Commit
dc024e4
·
1 Parent(s): f36f480

Update app.py

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Files changed (1) hide show
  1. app.py +1 -13
app.py CHANGED
@@ -6,8 +6,6 @@ import numpy as np
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  import cv2
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  import tensorflow as tf
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- # Restante do seu código ...
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-
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  # Load the model
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  model = tf.keras.models.load_model('model.h5')
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@@ -28,16 +26,6 @@ def predict_pneumonia(image):
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  else:
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  pneumonia_prediction = 0
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- # Return the probability of each class
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- class_probabilities = np.array(model.predict(img_array))
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-
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- # Return the top two possible classifications
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- top_classes = np.argsort(class_probabilities[0])[-2:]
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-
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- # Return the class names and the confidence scores for each class
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- class_names = ["Pneumonia", "Normal"]
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- confidence_scores = class_probabilities[0]
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-
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  return pneumonia_prediction
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  inputs = gr.inputs.Image(shape=(180, 180))
@@ -56,7 +44,7 @@ gradio_interface = gr.Interface(
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  ["person1952_bacteria_4883.jpeg"]
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  ],
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  theme="default",
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- allow_flagging="never"
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  )
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  gradio_interface.launch()
 
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  import cv2
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  import tensorflow as tf
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  # Load the model
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  model = tf.keras.models.load_model('model.h5')
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  else:
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  pneumonia_prediction = 0
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  return pneumonia_prediction
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  inputs = gr.inputs.Image(shape=(180, 180))
 
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  ["person1952_bacteria_4883.jpeg"]
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  ],
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  theme="default",
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+ allow_flagging=False
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  )
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  gradio_interface.launch()