Update app.py

app.py

@@ -113,12 +113,19 @@ def generate_answer_from_file(query, top_k=5):
     query_vector = get_embeddings(query).astype("float32")
     scores, indices = index.search(query_vector, k=top_k)
     retrieved_chunks = [document_texts[i] for i in indices[0]]
-    context = " ".join(retrieved_chunks)
+    context = "\n\n".join(retrieved_chunks)
 
+    # Example-based Prompt Engineering
     prompt = (
-        f"Use the following context from a textbook or academic document to answer the question accurately and in detail.\n\n"
+        "You are a helpful assistant reading student notes or textbook passages.\n\n"
+        "Based on the context provided, answer the question accurately.\n\n"
+        "### Example\n"
+        "Context:\nArtificial systems are created by people. These systems are designed to perform specific tasks, improve efficiency, and solve problems. Examples include knowledge systems, engineering systems, and social systems.\n\n"
+        "Question: What is an Artificial System?\n"
+        "Answer: Artificial systems are systems created by humans to perform specific tasks, improve efficiency, and solve problems. They include systems like knowledge systems, engineering systems, and social systems.\n\n"
+        "### Now answer this\n"
         f"Context:\n{context}\n\n"
-        f"Question: {query}\n\n"
+        f"Question: {query}\n"
         f"Answer:"
     )