improved prompts

app.py

@@ -71,8 +71,7 @@ def query_openai(prompt):
         max_tokens=MAX_TOKENS,
         n=1,
         stop=None,
-        temperature=0.7,
-        frequency_penalty=2
+        temperature=0.7
     )
     conversation.append(response.choices[0].message)
     return response.choices[0].message.content.strip()
@@ -103,18 +102,36 @@ def extract_arrays(s):
         return None 
 
 def generate_curriculum(skills):
-    prompt = f"You are a world-class middle and high school educator who develops project-based entrepreneurship curriculum catered to student interests. Create a curriculum of up to 5 lessons for a course based on the student's target skills to learn. Output the curriculum as a javascript array of strings, where each string is a description of the lesson. The output should just be the array and nothing else. Student's target skills: {skills}"
+    prompt = f"""
+    You are a world-class middle and high school educator who develops project-based entrepreneurship curriculum catered to student interests. 
+    Create a curriculum of up to 5 lessons for a course based on the student's target skills to learn. 
+    Output the curriculum as a javascript array of strings, where each string is a description of the lesson. 
+    The output should just be the array and nothing else. 
+    Student's target skills: {skills}
+    """
     response = query_openai(prompt)
     return extract_arrays(response)
 
 def generate_ideas(metadatas, interests):
-    summary = ".".join([f"Lesson {i} - title: {metadata['title']}, description: {metadata['description']}, learning outcome: {metadata['outcome']}" for i, metadata in enumerate(metadatas)])
-    prompt = f"We've created a curriculum for the student: {summary}. The student has an interest in \"{interests}\". What are some ambitious projects the student could do from what they'd learn from the curriculum?"
+    summary = "\n".join([f"- Lesson {i + 1}: {metadata['title']}. The description of the lesson is \"{metadata['description']}\". The learning outcomes are \"{metadata['outcome']}\"" for i, metadata in enumerate(metadatas)])
+    prompt = f"""
+    We've created a curriculum for the student: 
+    {summary} 
+    The student has an interest in \"{interests}\". 
+    What are 5 ambitious projects the student could do after they've learned the skills from this curriculum?
+    """
     response = query_openai(prompt)
     print(response)
 
 def generate_application(metadata, interests):
-    prompt = f"For the lesson titled \"{metadata['title']}\" about \"{metadata['description']}\", first describe the lesson and its outcome in one sentence objectively. Next, explore possible personal growth outcomes that combine their interest in \"{interests}\" with this lesson in one concise sentence. Implicitly draw poetic connections between the interests and the lesson. Help them to feel inspired to connect with the lesson. Try to communicate this without using the words \"{interests}\". Instead, tie in one of the previously described ambitious projects. Don't repeat an example of a project if you've used it for a previous lesson. Help them to see how the knowledge they gain in this lesson will allow them to thrive in their interests."
+    prompt = f"""
+    For the lesson titled \"{metadata['title']}\", describe the lesson and its outcome in one sentence objectively.
+    Next, in one concise sentence, explore possible personal growth outcomes that combine their interest in \"{interests}\" with this lesson. 
+    The sentence should implicitly draw poetic connections between the interests and the lesson and help them to feel inspired to connect with the lesson. 
+    It should not explicitly use the words \"{interests}\" and instead provide as an example one of the previously described ambitious projects. 
+    Don't repeat an example of a project if you've used it for a previous lesson. 
+    Sound like you're naturally explaining the lesson in person. Don't start with a header, etc.
+    """
     response = query_openai(prompt)
     return response