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app/generate_puggles.py
T
Paperclip dd0a57dcf9 feat(gro-194): SMS provider service with Telnyx SDK integration
- Added telnyx npm package
- Created sms.ts with SmsProvider interface
- Implemented TelnyxProvider with sendSms() and validateWebhookSignature()
- Added createSmsProvider() factory function
- Added smsSend() convenience function that skips when SMS_ENABLED=false
- Provider abstraction allows future Twilio or other providers
- E.164 phone validation on send
- Webhook signature verification using HMAC-SHA256

Co-Authored-By: Paperclip <noreply@paperclip.ing>
2026-04-13 19:11:59 +00:00

79 lines
2.7 KiB
Python

#!/usr/bin/env python3
import base64
import requests
import os
import json
api_key = os.environ.get("MINIMAX_API_KEY")
if not api_key:
raise ValueError("MINIMAX_API_KEY environment variable not set")
url = "https://api.minimax.io/v1/image_generation"
headers = {"Authorization": f"Bearer {api_key}"}
# Ensure output directory exists
os.makedirs("minimax-output", exist_ok=True)
prompts = [
{
"filename": "dog-puggle-fawn-playful.png",
"prompt": "Adorable fawn Puggle puppy with playful expression, compact muscular build, professional pet photography, studio lighting, photorealistic"
},
{
"filename": "dog-puggle-black-sitting.png",
"prompt": "Black and tan Puggle with alert sitting posture, pointed beagle-like ears, gentle eyes, professional studio lighting, photorealistic"
},
{
"filename": "dog-puggle-cream-groomed.png",
"prompt": "Cream Puggle freshly groomed with fluffy coat, happy expression, lying down comfortably, natural daylight, photorealistic"
},
{
"filename": "dog-puggle-tricolor-outdoor.png",
"prompt": "Tricolor Puggle in outdoor garden setting, alert playful pose, natural sunlight, professional pet photography, photorealistic"
},
{
"filename": "dog-puggle-fawn-grooming.png",
"prompt": "Fawn Puggle at grooming salon, gentle expression, compact muscular build with beagle-like features, professional grooming setup, warm lighting, photorealistic"
}
]
print(f"Generating {len(prompts)} Puggle images...")
for item in prompts:
filename = item["filename"]
prompt = item["prompt"]
print(f"\nGenerating {filename}...")
payload = {
"model": "image-01",
"prompt": prompt,
"aspect_ratio": "1:1",
"response_format": "base64",
}
try:
response = requests.post(url, headers=headers, json=payload, timeout=60)
response.raise_for_status()
data = response.json()
if "data" in data and "image_base64" in data["data"]:
images = data["data"]["image_base64"]
# Save the first (and usually only) image
output_path = f"minimax-output/{filename}"
with open(output_path, "wb") as f:
f.write(base64.b64decode(images[0]))
file_size = os.path.getsize(output_path)
print(f"✓ Saved {filename} ({file_size} bytes)")
else:
print(f"✗ Unexpected response format: {json.dumps(data, indent=2)}")
except requests.exceptions.RequestException as e:
print(f"✗ Error generating {filename}: {e}")
except Exception as e:
print(f"✗ Unexpected error for {filename}: {e}")
print("\n✓ Image generation complete!")
print("Files saved to minimax-output/")