Update app.py

app.py

@@ -6,7 +6,7 @@ from transformers import pipeline
 import re
 import nltk
 from nltk.tokenize import sent_tokenize
-from autogen import AssistantAgent, UserProxyAgent, config_list_from_json
+from autogen import AssistantAgent, UserProxyAgent
 
 nltk.download('punkt')
 
@@ -14,14 +14,6 @@ nltk.download('punkt')
 toxicity_classifier = pipeline("text-classification", model="unitary/toxic-bert")
 summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-6-6")
 
-# AutoGen configuration
-config_list = [
-    {
-        "model": "local",
-        "api_key": "none"
-    }
-]
-
 # Define AutoGen Agents (for modularity, but we'll call functions directly)
 user_proxy = UserProxyAgent(
     name="UserProxy",
@@ -32,32 +24,27 @@ user_proxy = UserProxyAgent(
 
 text_extraction_agent = AssistantAgent(
     name="TextExtractor",
-    system_message="Extracts text from URLs or processes raw text.",
-    llm_config={"config_list": config_list}
+    system_message="Extracts text from URLs or processes raw text."
 )
 
 grammar_check_agent = AssistantAgent(
     name="GrammarChecker",
-    system_message="Identifies spelling and grammar errors using LanguageTool.",
-    llm_config={"config_list": config_list}
+    system_message="Identifies spelling and grammar errors using LanguageTool."
 )
 
 sensitive_content_agent = AssistantAgent(
     name="SensitiveContentDetector",
-    system_message="Detects toxic or sensitive content (e.g., racism, gender bias).",
-    llm_config={"config_list": config_list}
+    system_message="Detects toxic or sensitive content (e.g., racism, gender bias)."
 )
 
 suggestion_agent = AssistantAgent(
     name="SuggestionGenerator",
-    system_message="Generates suggestions to fix grammar and rephrase sensitive content.",
-    llm_config={"config_list": config_list}
+    system_message="Generates suggestions to fix grammar and rephrase sensitive content."
 )
 
 coordinator_agent = AssistantAgent(
     name="Coordinator",
-    system_message="Combines results, highlights issues, and formats outputs.",
-    llm_config={"config_list": config_list}
+    system_message="Combines results, highlights issues, and formats outputs."
 )
 
 # Task functions
@@ -141,6 +128,7 @@ def review_blog(input_type, text_input, url_input):
 
     # Step 1: Text Extraction
     text = extract_text(input_type, text_input, url_input)
+    print(f"Processed text: {text}")  # Debug print to check text processing
     if text.startswith("Error"):
         return text, "", []