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06764cb afc9713 06764cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 | #!/usr/bin/env python3
"""
Image Agent — generates images via HuggingFace Inference API.
Routes image-generation requests from the email inbox through
FLUX.1-schnell (fast, free tier) to the HF Inference API.
Saves generated images to the Obsidian vault under Email/Images/.
"""
from __future__ import annotations
import json, os, re, datetime, io, base64, sys
from pathlib import Path
from typing import Any
import httpx
CONFIG_PATH = Path(__file__).resolve().parents[2] / "config" / "email.json"
HF_TOKEN = os.getenv("HF_TOKEN", "") or os.getenv("HF_ACCESS_TOKEN", "")
HF_API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
OBSIDIAN_VAULT = Path(os.getenv("OBSIDIAN_VAULT", "/tmp/email_vault"))
IMAGE_DIR = OBSIDIAN_VAULT / "Email" / "Images"
def load_config() -> dict:
with open(CONFIG_PATH) as f:
return json.load(f)
def generate_image(prompt: str, width: int = 1024, height: int = 1024,
num_steps: int = 4, guidance_scale: float = 0.0) -> dict[str, Any]:
"""Generate an image via HF Inference API."""
if not HF_TOKEN:
return {"error": "HF_TOKEN not set"}
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
payload = {
"inputs": prompt,
"parameters": {
"num_inference_steps": num_steps,
"guidance_scale": guidance_scale,
"width": width,
"height": height,
"max_sequence_length": 512,
},
}
try:
with httpx.Client(timeout=120, headers=headers) as client:
resp = client.post(HF_API_URL, json=payload)
if resp.status_code != 200:
return {"error": f"HF API {resp.status_code}: {resp.text[:200]}"}
# HF returns image bytes for image-generation tasks
img_bytes = resp.content
if not img_bytes:
return {"error": "Empty response from HF"}
except httpx.ConnectError as e:
return {"error": f"Connection failed: {str(e)}"}
except httpx.TimeoutException:
return {"error": "HF API request timed out"}
except Exception as e:
return {"error": f"Request failed: {str(e)}"}
# Save to Obsidian vault
IMAGE_DIR.mkdir(parents=True, exist_ok=True)
ts = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
safe_prompt = re.sub(r"[^\w\s-]", "", prompt)[:40].replace(" ", "_")
fname = f"{ts}_{safe_prompt}.png"
fpath = IMAGE_DIR / fname
with open(fpath, "wb") as f:
f.write(img_bytes)
# Also save as base64 for markdown embedding
b64 = base64.b64encode(img_bytes).decode()
# Write metadata
meta = {
"prompt": prompt,
"width": width,
"height": height,
"steps": num_steps,
"guidance_scale": guidance_scale,
"file": str(fpath),
"size_bytes": len(img_bytes),
"timestamp": datetime.datetime.now().isoformat(),
}
meta_path = IMAGE_DIR / f"{ts}_{safe_prompt}.json"
with open(meta_path, "w") as f:
json.dump(meta, f, indent=2)
return {
"status": "success",
"prompt": prompt,
"file": str(fpath),
"size_bytes": len(img_bytes),
"base64_preview": b64[:200] + "...",
"metadata": meta,
}
def generate_from_email(email_data: dict) -> dict[str, Any]:
"""Process an email requesting image generation."""
subject = email_data.get("subject", "")
body = email_data.get("body", "")
sender = email_data.get("sender", "")
# Extract image prompt from email body
# Look for explicit prompt markers
prompt_match = re.search(
r"(?:image|picture|generate|create|draw|make)\s*:?\s*(.+?)(?:\n|$|(?:\.|!|\?)$)",
body, re.IGNORECASE,
)
if prompt_match:
prompt = prompt_match.group(1).strip().rstrip(".")
else:
# Use subject + first line of body as prompt
prompt = f"{subject}. {body[:200]}"
result = generate_image(prompt)
# Store in vault with email context
if "error" not in result:
vault_entry = {
"source_email": {
"subject": subject,
"sender": sender,
"date": email_data.get("date", ""),
},
"image_result": result,
}
meta_path = Path(result["file"]).with_suffix(".json")
with open(meta_path, "w") as f:
json.dump(vault_entry, f, indent=2)
return result
def list_generated_images(limit: int = 20) -> list[dict]:
"""List generated images from the vault."""
images = []
if not IMAGE_DIR.exists():
return images
for f in sorted(IMAGE_DIR.glob("*.png"), reverse=True)[:limit]:
meta_path = f.with_suffix(".json")
meta = {}
if meta_path.exists():
with open(meta_path) as mf:
meta = json.load(mf)
images.append({
"file": f.name,
"size_bytes": f.stat().st_size,
"metadata": meta,
})
return images
if __name__ == "__main__":
# CLI test mode
if len(sys.argv) > 1:
result = generate_image(sys.argv[1])
print(json.dumps(result, indent=2, default=str))
else:
print(json.dumps(list_generated_images(), indent=2)) |