initial sources

.github/workflows/release.yaml

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+name: Create Release
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'  # Trigger the workflow on push to tags matching the semantic versioning format
+
+jobs:
+  release:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Create GitHub Release
+        id: create_release
+        uses: actions/create-release@v1
+        with:
+          tag_name: ${{ github.ref }}
+          release_name: Release ${{ github.ref }}
+          draft: false
+          prerelease: false
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Upload Release Asset
+        id: upload-release-asset
+        uses: actions/upload-release-asset@v1
+        with:
+          upload_url: ${{ steps.create_release.outputs.upload_url }}
+          asset_path: ./question.py
+          asset_name: question.py
+          asset_content_type: text/x-python
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+

question

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+#!/usr/bin/env python3
+
+import os
+import sys
+import openai
+import logging
+from rich.markdown import Markdown
+from rich import print as rprint
+from halo import Halo
+
+# Setup logging based on environment variable
+log_level = os.environ.get("LOG_LEVEL", "WARNING").upper()
+logging.basicConfig(level=getattr(logging, log_level))
+
+# Read OpenAI API key from environment variable
+api_key = os.environ.get("OPENAI_API_KEY")
+if not api_key:
+    logging.error("OPENAI_API_KEY environment variable not set.")
+    exit(1)
+
+openai.api_key = api_key
+
+def call_openai_api(question):
+    try:
+        MODEL = "gpt-4-0613"
+        messages = [{"role": "user", "content": question}]
+
+        # Make API call
+        with Halo(text='Waiting for response...', spinner='dots'):
+            response = openai.ChatCompletion.create(
+                model=MODEL,
+                messages=messages,
+                temperature=0,
+            )
+        return response['choices'][0]['message']['content']
+    except Exception as e:
+        logging.error(f"API call failed: {e}")
+        return None
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        logging.error("No query string provided.")
+        exit(1)
+
+    # Get user input from command line argument
+    question = sys.argv[1]
+    logging.info(f"Received input: {question}")
+
+    # Call OpenAI API
+    response = call_openai_api(question)
+
+    # Output response or failure message
+    if response:
+        markdown_response = Markdown(response)
+        rprint("Assistant says:", markdown_response)
+    else:
+        print("Failed to get a response.")
+