Update app.py

app.py

@@ -84,9 +84,9 @@ openai.api_key = OPENAI_API_KEY
 openai.api_base = "https://api.groq.com/openai/v1"  # Ensure this is the correct base URL for your API
 
 # Rate Limiter Configuration
-RPM_LIMIT = 60  # Requests per minute (adjust based on your API's limit)
-TPM_LIMIT = 60000  # Tokens per minute (adjust based on your API's limit)
-BATCH_SIZE = 5  # Number of bookmarks per batch
+RPM_LIMIT = 60       # Requests per minute (adjust based on your API's limit)
+TPM_LIMIT = 60000    # Tokens per minute (adjust based on your API's limit)
+BATCH_SIZE = 5       # Number of bookmarks per batch
 
 # Implementing a Token Bucket Rate Limiter
 class TokenBucket:
@@ -271,7 +271,9 @@ def llm_worker():
                 for idx, bookmark in enumerate(batch, 1):
                     prompt += f"Bookmark {idx}:\nURL: {bookmark['url']}\nTitle: {bookmark['title']}\n\n"
 
+                # Corrected f-string without backslashes
                 prompt += f"Categories:\n{', '.join([f'\"{cat}\"' for cat in CATEGORIES])}\n\n"
+
                 prompt += "Format your response as a JSON object where each key is the bookmark URL and the value is another JSON object containing 'summary' and 'category'.\n\n"
                 prompt += "Example:\n"
                 prompt += "{\n"