removed chathistory

app.py

@@ -119,7 +119,7 @@ def rerank_with_bm25(docs, query):
 
 
 # ---------------------- History-Aware CAG ----------------------
-def retrieve_from_cag(user_query, chat_history):
+def retrieve_from_cag(user_query):
     query_embedding = semantic_model.encode(user_query, convert_to_tensor=True)
     cosine_scores = util.cos_sim(query_embedding, qa_embeddings)[0]
     best_idx = int(np.argmax(cosine_scores))
@@ -132,7 +132,7 @@ def retrieve_from_cag(user_query, chat_history):
         return None, best_score
 
 # ---------------------- History-Aware RAG ----------------------
-def retrieve_from_rag(user_query, chat_history):
+def retrieve_from_rag(user_query):
     # Combine history with current query
     #history_context = " ".join([f"User: {msg[0]} Bot: {msg[1]}" for msg in chat_history]) + " "
     #full_query = history_context + user_query
@@ -167,10 +167,7 @@ def generate_via_openrouter(context, query, chat_history=None):
     print("\n--- Generating via OpenRouter ---")
     print("Context received:", context)
 
-    history_text = ""
-    if chat_history:
-        history_text = "\n".join([f"User: {q}\nBot: {a}" for q, a in chat_history[-2:]])  # Last 2 exchanges only
-
+   
     prompt = f"""<s>[INST]
 You are a Moodle expert assistant.
 Instructions:
@@ -206,14 +203,14 @@ def chatbot(query, chat_history):
     print("User Query:", query)
 
     # Try to retrieve from CAG (cache)
-    answer, score = retrieve_from_cag(query, chat_history)
+    answer, score = retrieve_from_cag(query)
     if answer:
         print("Answer retrieved from CAG cache.")
-        chat_history.append((query, answer))  # Append the new question-answer pair to history
+      
         return answer
 
     # If not found, retrieve from RAG
-    docs = retrieve_from_rag(query, chat_history)
+    docs = retrieve_from_rag(query)
     if docs:
         context_blocks = []
         for doc in docs:
@@ -232,12 +229,12 @@ def chatbot(query, chat_history):
 
         # Choose the generation backend (OpenRouter)
         response = generate_via_openrouter(context, query)
-        chat_history.append((query, response))  # Append the new question-answer pair to history
+       # chat_history.append((query, response))  # Append the new question-answer pair to history
         return response
 
     else:
         print("No relevant documents found.")
-        chat_history.append((query, "Je ne sais pas."))
+       # chat_history.append((query, "Je ne sais pas."))
         return "Je ne sais pas."
 
 # ---------------------- Gradio App ----------------------
@@ -255,14 +252,14 @@ def save_chat_to_file(chat_history):
 
     return file_path
 
-def ask(user_message, chat_history):
-    if not user_message:
-        return chat_history, chat_history, ""
+#def ask(user_message, chat_history):
+  #  if not user_message:
+  #      return chat_history, chat_history, ""
 
-    response = chatbot(user_message, chat_history)
-    chat_history.append((user_message, response))
+  #  response = chatbot(user_message, chat_history)
+  #  chat_history.append((user_message, response))
 
-    return chat_history, chat_history, ""
+  #  return chat_history, chat_history, ""
 
 # Initialize chat history with a welcome message
 initial_message = (None, "Hello, how can I help you with Moodle?")