Update app.py

app.py

@@ -65,12 +65,12 @@ def segment(image):
     mask_image = mask_image.astype(np.uint8)
     mask_image = Image.fromarray(mask_image).convert("L")
 
-    #Porcentaje de 0
+    # Porcentagem de 0
     positive_pixels = np.count_nonzero(mask_image)
     total_pixels = mask_image.size[0] * mask_image.size[1]
     percentage = (positive_pixels / total_pixels) * 100
 
-     # Calcular los porcentajes de 0 y 1
+    # Calcular os percentuais de 0 e 1
     class_0_percentage = 100 - percentage
     class_1_percentage = percentage
 
@@ -78,19 +78,19 @@ def segment(image):
 
 if __name__ == "__main__":
     model = build_model(input_shape=(size, size, 1))
-    gr.Interface(
+        gr.Interface(
         fn=segment,
         inputs="image",
         outputs=[
-            gr.Image(type="pil", label="Breast Cancer Mask"),
-            gr.Number(label="Class 0 Percentage"),
-            gr.Number(label="Class 1 Percentage")
+            gr.Image(type="pil", label="Máscara de Câncer de Mama"),
+            gr.Number(label="Porcentagem da Classe 0"),
+            gr.Number(label="Porcentagem da Classe 1")
         ],
         examples=[["benign(10).png"], ["benign(109).png"]],
-        title = '<h1 style="text-align: center;">Breast Cancer Ultrasound Image Segmentation! 💐 </h1>',
-        description = """
-        Check out this exciting development in the field of breast cancer diagnosis and treatment!
-        A demo of Breast Cancer Ultrasound Image Segmentation has been developed.
-        Upload image file, or try out one of the examples below! 🙌
+        title='<h1 style="text-align: center;">Segmentação de Imagens de Ultrassom de Câncer de Mama! 💐 </h1>',
+        description="""
+        Confira esse avanço emocionante no campo do diagnóstico e tratamento do câncer de mama!
+        Foi desenvolvido um demo de Segmentação de Imagens de Ultrassom de Câncer de Mama.
+        Faça o upload de um arquivo de imagem ou experimente um dos exemplos abaixo! 🙌
         """
-    ).launch(debug=True)
+    ).launch(debug=True)