Update app.py

app.py

@@ -86,6 +86,7 @@ class EnhancedContextDrivenChatbot:
             r"(.*?),?\s*(?:please\s+)?(provide\s+(?:me\s+)?a\s+.*?|give\s+(?:me\s+)?a\s+.*?|create\s+a\s+.*?)$",
             r"(.*?),?\s*(?:please\s+)?(summarize|analyze|explain|describe|elaborate\s+on).*$",
             r"(.*?),?\s*(?:please\s+)?(in\s+detail|briefly|concisely).*$",
+            r"(.*?),?\s*(?:please\s+)?(considering\s+yourself\s+as\s+.*?)$"
         ]
         
         for pattern in instruction_patterns:
@@ -140,7 +141,7 @@ class EnhancedContextDrivenChatbot:
         
         if self.is_follow_up_question(core_question):
             contextualized_question = self.get_most_relevant_context(core_question)
-            contextualized_question = self.rephrase_query(contextualized_question, instructions)
+            contextualized_question = self.rephrase_query(contextualized_question)
         else:
             contextualized_question = core_question
         
@@ -352,17 +353,18 @@ def estimate_tokens(text):
     # Rough estimate: 1 token ~= 4 characters
     return len(text) // 4
 
-def ask_question(question: str, temperature: float, top_p: float, repetition_penalty: float, web_search: bool, chatbot: EnhancedContextDrivenChatbot) -> str:
+def ask_question(question, temperature, top_p, repetition_penalty, web_search, chatbot):
     model = get_model(temperature, top_p, repetition_penalty)
     chatbot.model = model
 
     if web_search:
         contextualized_question, topics, entity_tracker, instructions = chatbot.process_question(question)
-        
+    
         # Log the contextualized question for debugging
         print(f"Contextualized question: {contextualized_question}")
+        print(f"Instructions: {instructions}")
         
-        search_results = google_search(contextualized_question, num_results=3)
+         search_results = google_search(contextualized_question, num_results=3)
 
         context_chunks = []
         for result in search_results: