Update app.py

app.py

@@ -136,10 +136,10 @@ def retrieve_from_rag(user_query, chat_history):
     # 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
-    full_query= user_query
+    #full_query= user_query
     print("Searching in RAG with history context...")
 
-    query_embedding = embedding_model.encode(full_query)
+    query_embedding = embedding_model.encode(user_query)
     results = collection.query(query_embeddings=[query_embedding], n_results=5)  # Get top 5 first
 
     if not results or not results.get('documents'):
@@ -179,8 +179,7 @@ Instructions:
 - If the answer is not in the documents, simply say: "I don't know." / "Je ne sais pas."
 - Cite only the sources you use, indicated at the end of each document like (Source: https://example.com).
 
-Chat History:
-{history_text}
+
 
 Documents:
 {context}
@@ -191,7 +190,8 @@ Answer:
 """
     try:
         response = client1.chat.completions.create(
-            model="mistralai/mistral-7b-instruct:free",
+           # model="mistralai/mistral-7b-instruct:free",
+            model="mistralai/mistral-small-3.1-24b-instruct:free",
             messages=[{"role": "user", "content": prompt}]
         )
         return response.choices[0].message.content.strip()