Created
April 11, 2025 20:45
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import os | |
from pathlib import Path | |
from openai import OpenAI | |
client = OpenAI( | |
base_url="https://api.scaleway.ai/v1", | |
api_key=os.environ["SCW_SECRET_KEY"] | |
) | |
def convert_changelog(in_file, out_file): | |
PROMPT = '''You are an AI agent that converts changelogs to Markdown. Given a changelog for a software package, which may be in a variety of formats such as Markdown, reStructuredText, or a custom text format, you will extract the 3 most recent releases and re-format them in Markdown. | |
Example input: | |
``` | |
09/01/2023 - 2.6.1 | |
------------------------------ | |
* [CGFES-1154] Initialize "user" acquisition field in CGAFG | |
* Update to FESA 8.3.0 | |
``` | |
Corresponding output: | |
``` | |
### 2.6.1 (2023-01-09) | |
* [CGFES-1154] Initialize "user" acquisition field in CGAFG | |
* Update to FESA 8.3.0 | |
``` | |
''' | |
# Now follows the changelog:\n\n''' | |
# PROMPT += Path("changelog.txt").read_text() | |
PROMPT2 = "Now follows the changelog:\n\n" + Path(in_file).read_text() | |
response = client.chat.completions.create( | |
model="llama-3.1-8b-instruct", | |
# messages=[{"role": "system", "content": PROMPT}], | |
messages=[{"role": "system", "content": PROMPT}, {"role": "user", "content": PROMPT2}], | |
temperature=0.2, | |
max_tokens=500, | |
top_p=0.7 | |
) | |
print("RESPONSE") | |
print(response) | |
print("CONTENT") | |
print(response.choices[0].message.content) | |
Path(out_file).write_text(response.choices[0].message.content) | |
convert_changelog("changelog.txt", "output.md") |
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