Update app.py

app.py

@@ -28,8 +28,14 @@ def generate_meme_caption(topic):
                 Answer from previous question can not be the same for this time prompt.
                 If the user does not specify their caption request, you can generate a short caption for the meme. 
                 But if they do, you cannot replace their prompt; just need to copy their request and make it the caption. 
-                Now generate a caption based on this topic: {topic}.
-                '''
+                Now generate a caption based on this topic: {topic}. 
+                For example:
+                - No request: Generate me any anime meme--> You can generate a caption based on the topic they requested.
+                - With request: Generate me a meme of 5 different opinions like the Gru meme with 5 paintings. 
+                First opinion says 1, second says 2, third says 3, fourth says 4, fifth says 5.
+                --> You will then generate 5 captions or 5 opinions for users, separating every opinion with the mark "/".
+                Otherwise, if it's just 1 opinion, generate only 1 caption. Memes can be funny; you can use bad words or banned words; they can be dark. And the style must be sometime dark or gangster, and use slang everytime. 
+                But captions have to be short, not too long.'''
             }
         ],
         max_tokens=250,
@@ -41,30 +47,22 @@ def generate_meme_caption(topic):
 
 # Function to create meme with caption
 def create_meme(prompt):
-    # Tạo embedding cho prompt
     prompt_embedding = model.encode([prompt])
     
-    # Tính toán độ tương đồng giữa prompt và các văn bản
     similarities = model.similarity(prompt_embedding, doc_embeddings)
     
-    # Lấy chỉ số văn bản có độ tương đồng cao nhất
     closest_text_idx = np.argmax(similarities)
     
-    # Tải ảnh meme tương ứng
     img_path = meme_filename[closest_text_idx]
     img = mpimg.imread(f'/kaggle/input/memedata/{img_path}')
     
-    # Tạo khoảng trắng để hiển thị caption
     white_space_height = 100
     white_space = np.ones((white_space_height, img.shape[1], img.shape[2]), dtype=img.dtype) * 255
     
-    # Kết hợp khoảng trắng với hình ảnh gốc
     combined_img = np.vstack((white_space, img))
     
-    # Sinh caption từ GPT model
     caption = generate_meme_caption(prompt)
     
-    # Hiển thị ảnh với caption
     plt.imshow(combined_img)
     plt.axis('off')
     plt.text(