Use gpt-4o-mini to generate doc metadata

scripts/generate_metadata.py

@@ -0,0 +1,64 @@
+import frontmatter
+import sys
+from openai import OpenAI
+import os
+
+if len(sys.argv) > 1:
+    file = sys.argv[1]
+else:
+    print("No command line arguments provided.")
+with open(file, 'r') as file:
+    input = file.read()
+
+data = frontmatter.loads(input)
+
+print("title:", data["title"])
+print("description:",data["description"])
+
+# Set your API key
+client = OpenAI(
+    # This is the default and can be omitted
+    api_key=os.environ.get("OPENAI_API_KEY", 1),
+)
+
+prompt = """
+Given a page comprised of the following markdown, generate a one-sentence summary, suitable for use in a <META tag='description'> tag. Just return the description text, not the HTML. Make sure the output is suitable for use in an HTML attribute -- i.e. there are no quote marks or non-ascii characters."
+"""
+response = client.chat.completions.create(
+  model="gpt-4o-mini",
+  messages=[
+        {"role": "system", "content": prompt},
+        {"role": "user", "content": data.content},
+    ]
+)
+# Print the response
+data["description"] = response.choices[0].message.content
+print("NEW DESCRIPTION:",data["description"])
+
+prompt = """
+Given a page comprised of the following markdown, generate a list of one to five keywords, suitable for use in a <META tag='keyword'> tag. Ideally, just do one, but if you have to go up to five to cover everything, that's okay. Just print the keywords, not the HTML. Make sure the output is suitable for use in an HTML attribute -- i.e. there are no quote marks or non-ascii characters."
+"""
+response = client.chat.completions.create(
+  model="gpt-4o-mini",
+  messages=[
+        {"role": "system", "content": prompt},
+        {"role": "user", "content": data.content},
+    ]
+)
+# Print the response
+data["keywords"] = response.choices[0].message.content
+print("NEW KEYWORDS:",data["keywords"])
+
+prompt = """
+Given a page comprised of the following markdown, generate a bulleted list in markdown that summarizes the text in no more than three one-sentence bullet points.
+"""
+response = client.chat.completions.create(
+  model="gpt-4o-mini",
+  messages=[
+        {"role": "system", "content": prompt},
+        {"role": "user", "content": data.content},
+    ]
+)
+# Print the response
+bullets = response.choices[0].message.content
+print("Summary bullet-points:\n",bullets)