translated

app.py

@@ -20,8 +20,8 @@ from gradio.themes.utils.colors import slate  # type: ignore
 
 def render():
     
-    title = "Recognizer of Bulgarian, Indian and Japanese design patterns"
-    description = "Select image or drag some of the examples below."    
+    title = "Разпознавач на български, индийски и японски шевици"
+    description = "Избери снимка на шевица или домъкни една от тези по-долу."    
     examples = [
         './samples/bulgarian.jpg', 
         './samples/indian.jpg', 

predict.py

@@ -1,9 +1,9 @@
 '''
 File: recognize.py
-Project: PatternsRecognizer
+Project: BulgarianPatternsRecognizer
 Author: Milko Videv (milko.videv@thalesgroup.com)
 -----
-Last Modified: Tuesday, 5th March 2024 10:02:08 am
+Last Modified: Tuesday, 5th March 2024 5:51:38 pm
 Modified By: Milko Videv (milko.videv@thalesgroup.com>)
 -----
 Copyright 2017 - 2024, Thales DIS, MCS SSH
@@ -25,15 +25,18 @@ def predict(image):
     pred,pred_idx,probs = learn.predict(img)
     result = {labels[i]: float(probs[i]) for i in range(len(labels))}
 
+    labels_map = {'bulgarian': 'българска', 'indian': 'индийска', 'japanese': 'японска'}
+    result = {labels_map[key]: value for key, value in result.items()}
+
     max_type = max(result, key=result.get)
-    max_probability = result[max_type] * 100
-    print(f"{max_type} with probability {max_probability:.2f}%")
+    max_probability = result[max_type] * 100    
+    print(f"Тази шевица е {max_type} с вероятност {max_probability:.2f}%")
 
     return result
 
 if __name__ == "__main__":
     if debugger_is_active():
-        predict("./POC/PatternsRecognizer/samples/bulgarian.jpg")
+        predict("./samples/bulgarian.jpg")
         sys.exit()
     else:
         if len(sys.argv) < 2:

requirements.txt

@@ -1,2 +1,5 @@
 transformers
-torch
+torch
+fastai 
+fastbook 
+scikit-image