Update app.py

app.py

@@ -224,32 +224,6 @@ def google_search(term, num_results=5, lang="en", timeout=5, safe="active", ssl_
 
     return all_results
 
-def rephrase_for_search(query, model):
-    rephrase_prompt = PromptTemplate(
-        input_variables=["query"],
-        template="""
-        Your task is to rephrase the given conversational query into a concise, search-engine-friendly format.
-        Remove any conversational elements and focus on the core information need.
-        Provide ONLY the rephrased query without any additional text or explanations.
-        
-        Conversational query: {query}
-        
-        Rephrased query:"""
-    )
-    
-    chain = LLMChain(llm=model, prompt=rephrase_prompt)
-    response = chain.run(query=query).strip()
-    
-    rephrased_query = response.replace("Rephrased query:", "").strip()
-    
-    if rephrased_query.lower() == query.lower() or len(rephrased_query) > len(query) * 1.5:
-        common_words = set(['the', 'a', 'an', 'in', 'on', 'at', 'to', 'for', 'of', 'with', 'by', 'from', 'up', 'about', 'into', 'over', 'after'])
-        keywords = [word.lower() for word in query.split() if word.lower() not in common_words]
-        keywords = [word for word in keywords if word.isalnum()]
-        return ' '.join(keywords)
-    
-    return rephrased_query
-
 def ask_question(question, temperature, top_p, repetition_penalty, web_search):
     if not question:
         return "Please enter a question."