Update app.py

app.py

@@ -277,7 +277,7 @@ def predict_breed(cropped_image):
 
 def predict(image):
     if image is None:
-        return "請上傳一張圖片來開始。", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
+        return "Please upload an image to start.", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
 
     try:
         if isinstance(image, np.ndarray):
@@ -285,7 +285,7 @@ def predict(image):
 
         dogs = detect_dogs(image)
         if len(dogs) == 0:
-            return "未檢測到狗或圖片不清晰。請上傳一張更清晰的狗的圖片。", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
+            return "No dogs detected or the image is unclear. Please upload a clearer image of a dog.", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
 
         explanations = []
         visible_buttons = []
@@ -296,29 +296,29 @@ def predict(image):
             top1_prob, topk_breeds, topk_probs_percent = predict_breed(cropped_image)
 
             draw.rectangle(box, outline="red", width=3)
-            draw.text((box[0], box[1]), f"狗 {i+1}", fill="red")
+            draw.text((box[0], box[1]), f"Dog {i+1}", fill="red")
 
             if top1_prob >= 0.5:
                 breed = topk_breeds[0]
                 description = get_dog_description(breed)
-                explanations.append(f"狗 {i+1}: **{breed}**\n{format_description(description, breed)}")
+                explanations.append(f"Dog {i+1}: **{breed}**\n{format_description(description, breed)}")
             elif 0.2 <= top1_prob < 0.5:
                 explanation = (
-                    f"狗 {i+1}: 中等置信度檢測。以下是前3個可能的品種：\n"
+                    f"Dog {i+1}: Detected with moderate confidence. Here are the top 3 possible breeds:\n"
                     f"1. **{topk_breeds[0]}** ({topk_probs_percent[0]})\n"
                     f"2. **{topk_breeds[1]}** ({topk_probs_percent[1]})\n"
                     f"3. **{topk_breeds[2]}** ({topk_probs_percent[2]})\n"
                 )
                 explanations.append(explanation)
-                visible_buttons.extend([f"更多關於 {topk_breeds[0]}", f"更多關於 {topk_breeds[1]}", f"更多關於 {topk_breeds[2]}"])
+                visible_buttons.extend([f"More about {topk_breeds[0]}", f"More about {topk_breeds[1]}", f"More about {topk_breeds[2]}"])
             else:
-                explanations.append(f"狗 {i+1}: 圖片不清晰或品種不在數據集中。")
+                explanations.append(f"Dog {i+1}: The image is unclear or the breed is not in the dataset.")
 
         final_explanation = "\n\n".join(explanations)
         return final_explanation, annotated_image, gr.update(visible=len(visible_buttons) >= 1, value=visible_buttons[0] if visible_buttons else ""), gr.update(visible=len(visible_buttons) >= 2, value=visible_buttons[1] if len(visible_buttons) >= 2 else ""), gr.update(visible=len(visible_buttons) >= 3, value=visible_buttons[2] if len(visible_buttons) >= 3 else "")
 
     except Exception as e:
-        return f"發生錯誤：{e}", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
+        return f"An error occurred: {e}", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
 
 def format_description(description, breed):
     if isinstance(description, dict):
@@ -327,18 +327,18 @@ def format_description(description, breed):
         formatted_description = description
 
     akc_link = get_akc_breeds_link()
-    formatted_description += f"\n\n**想了解更多狗品種資訊？** [訪問 AKC 狗品種頁面]({akc_link})並搜尋 {breed} 以獲取詳細資訊。"
+    formatted_description += f"\n\n**Want to learn more about dog breeds?** [Visit the AKC dog breeds page]({akc_link}) and search for {breed} to find detailed information."
 
-    disclaimer = ("\n\n*免責聲明：提供的外部連結指向美國養犬俱樂部（AKC）的狗品種頁面。"
-                  "您可能需要在該頁面上搜索特定品種。"
-                  "我對外部網站的內容不負責任。"
-                  "請參閱 AKC 的使用條款和隱私政策。*")
+    disclaimer = ("\n\n*Disclaimer: The external link provided leads to the American Kennel Club (AKC) dog breeds page. "
+                  "You may need to search for the specific breed on that page. "
+                  "I am not responsible for the content on external sites. "
+                  "Please refer to the AKC's terms of use and privacy policy.*")
     formatted_description += disclaimer
 
     return formatted_description
 
 def show_details(breed):
-    breed_name = breed.split("更多關於 ")[-1]
+    breed_name = breed.split("More about ")[-1]
     description = get_dog_description(breed_name)
     return format_description(description, breed_name)
 
@@ -373,19 +373,19 @@ with gr.Blocks(css="""
     }
     """) as iface:
 
-    gr.HTML("<h1 style='font-family:Roboto; font-weight:bold; color:#2C3E50; text-align:center;'>🐶 狗狗品種分類器 🔍</h1>")
-    gr.HTML("<p style='font-family:Open Sans; color:#34495E; text-align:center;'>上傳一張狗狗的照片，模型將預測其品種，提供詳細資訊，並包含額外的資訊連結！</p>")
+    gr.HTML("<h1 style='font-family:Roboto; font-weight:bold; color:#2C3E50; text-align:center;'>🐶 Dog Breed Classifier 🔍</h1>")
+    gr.HTML("<p style='font-family:Open Sans; color:#34495E; text-align:center;'>Upload a picture of a dog, and the model will predict its breed, provide detailed information, and include an extra information link!</p>")
     
     with gr.Row():
-        input_image = gr.Image(label="上傳狗狗圖片", type="pil")
-        output_image = gr.Image(label="標註後的圖片")
+        input_image = gr.Image(label="Upload a dog image", type="pil")
+        output_image = gr.Image(label="Annotated Image")
     
-    output = gr.Markdown(label="預測結果")
+    output = gr.Markdown(label="Prediction Results")
     
     with gr.Row():
-        btn1 = gr.Button("查看更多 1", visible=False)
-        btn2 = gr.Button("查看更多 2", visible=False)
-        btn3 = gr.Button("查看更多 3", visible=False)
+        btn1 = gr.Button("View More 1", visible=False)
+        btn2 = gr.Button("View More 2", visible=False)
+        btn3 = gr.Button("View More 3", visible=False)
 
     input_image.change(predict, inputs=input_image, outputs=[output, output_image, btn1, btn2, btn3])
     
@@ -398,7 +398,7 @@ with gr.Blocks(css="""
         inputs=input_image
     )
 
-    gr.HTML('如需了解本項目的更多詳情和其他作品，歡迎訪問我的 GitHub <a href="https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/Dog%20Breed%20Classifier">狗狗品種分類器</a>')
+    gr.HTML('For more details on this project and other work, feel free to visit my GitHub <a href="https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/Dog%20Breed%20Classifier">Dog Breed Classifier</a>')
 
 if __name__ == "__main__":
     iface.launch()