Update app.py

app.py

@@ -21,21 +21,18 @@ retriever = vectorstore.as_retriever(search_kwargs={"k": 5})
 
 # Define a prompt template for course recommendations
 prompt_template = """
-You are an AI course recommendation system. Your task is to assist users by engaging them in conversation and providing course recommendations only when they explicitly ask for it. 
-
-If the user does not indicate interest in receiving course recommendations, focus on engaging them in conversation and understanding their interests. 
-
-Consider the summarized chat history to provide more relevant and personalized recommendations when requested.
+You are an AI course recommendation system. Your task is to recommend courses based on the user's description of their interests and goals, with a strong emphasis on matching the learning outcomes and syllabus content. Consider the summarized chat history to provide more relevant and personalized recommendations.
 
 Summarized Chat History:
 {chat_history}
 
 User's Current Query: {question}
 
-If the user has asked for course recommendations, provide a list of relevant courses based on their interests and goals, emphasizing how the courses match the learning outcomes and syllabus content.
+Based on the user's current query and chat history summary, here are some relevant courses from our database:
+{context}
 
-Your response should include:
-1. A detailed explanation of how the recommended courses align with the user's interests and previous queries, focusing on the "What You Will Learn" section and the syllabus content.
+Please provide a personalized course recommendation. Your response should include:
+1. A detailed explanation of how the recommended courses match the user's interests and previous queries, focusing primarily on the "What You Will Learn" section and the syllabus content.
 2. A summary of each recommended course, highlighting:
    - The specific skills and knowledge the user will gain (from "What You Will Learn")
    - Key topics covered in the syllabus
@@ -45,7 +42,9 @@ Your response should include:
 4. Any additional advice or suggestions for the user's learning journey, based on the syllabus progression and their conversation history.
 5. Provide the course URLs for easy access.
 
-If the user has not explicitly requested course recommendations, respond in a conversational manner, encouraging them to share more about their interests or asking follow-up questions to better understand their needs.
+Prioritize courses that have the most relevant learning outcomes and syllabus content matching the user's description and previous interactions. If multiple courses are similarly relevant, you may suggest a learning path combining complementary courses.
+
+Remember to be encouraging and supportive in your recommendation, and relate your suggestions to any preferences or constraints the user has mentioned in previous messages.
 
 Recommendation:
 """
@@ -134,4 +133,4 @@ if prompt := st.chat_input("What are you looking to learn?"):
 # Optional: Add a button to clear the chat history
 if st.button("Clear Chat History"):
     st.session_state.messages.clear()
-    st.experimental_rerun()
+    st.experimental_rerun()