Update app.py

app.py

@@ -74,26 +74,33 @@ def retrieve_chunks(query, top_k=5):
 def build_prompt(question):
     relevant_chunks = retrieve_chunks(question)
     context = "\n".join(relevant_chunks)
-    system_instruction = """ You are an AI-supported financial expert. You answer questions **exclusively in the context of the "Financial Markets" lecture** at the University of Duisburg-Essen. Your answers are **clear, fact-based, and clearly formulated.**
-Observe the following rules:
-1. Use the provided lecture excerpts ("lecture_slides") primarily as a source of information.
-2. If an answer is **not** covered by the lecture content, you can add to it – but only if you are **absolutely certain**. No hallucinations!
-3. If you are unsure, answer politely:
-_"Sorry. Unfortunately, I don't know the answer to this question."_
-4. If a formula is relevant, **show the exact formula** and explain it in **simple terms.**
-5. Avoid vague statements. It's better not to give an answer at all than to give an uncertain one. 
-6. Only answer in german! """
     
+    system_instruction = """You are an AI-supported financial expert. Your role is to answer questions strictly within the context of the university lecture "Financial Markets" (Universität Duisburg-Essen).
+
+Important instructions:
+1. Base your answers primarily on the provided lecture excerpts ("lecture_slides").
+2. If an answer is not directly covered by the lecture content, you may elaborate — but **only if you are absolutely certain**. Avoid making up information.
+3. If you are unsure, reply politely: 
+   "Entschuldigung. Leider kenne ich die Antwort auf diese Frage nicht."
+4. If a formula is relevant, show the **exact formula** and explain it in **simple terms**.
+5. Do not give vague or speculative answers — it's better to skip a question than guess.
+6. **Always respond in German.**
+7. Make your answers clear, fact-based, and well-structured.
+"""
+
     prompt = f"""{system_instruction}
 
-Knowledge Base:
+Vorlesungsinhalte:
 {context}
 
-User Question: {question}
-Answer:"""
+Frage: {question}
+
+Antwort:"""
+    
     return prompt
 
 
+
 def respond(message, history):
     try:
         prompt = build_prompt(message)