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import requests
import base64
import json
from io import BytesIO
from typing import Optional, Dict
# Pillow is required for image format conversion and normalization.
# Please install it using: pip install Pillow
try:
from PIL import Image
except ImportError:
print("Pillow library not found. Please install it using: pip install Pillow")
exit()
def _download_image_from_url(image_url: str, save_path: str) -> bool:
"""
Downloads an image from a URL and saves it to a local path.
Args:
image_url: The URL of the image to download.
save_path: The local path to save the downloaded image.
Returns:
True if the download was successful, False otherwise.
"""
print(f"Downloading generated image from: {image_url}")
try:
image_response = requests.get(image_url, stream=True)
# Check if the download request was successful.
if image_response.status_code == 200:
content_type = image_response.headers.get('Content-Type', '')
if 'image' in content_type:
with open(save_path, 'wb') as f:
for chunk in image_response.iter_content(1024):
f.write(chunk)
print(f"Image successfully saved to {save_path}")
return True
else:
print(f"Error: Content at URL is not an image. Content-Type: {content_type}")
return False
else:
print(f"Error: Failed to download image. Status code: {image_response.status_code}")
return False
except requests.exceptions.RequestException as e:
print(f"An error occurred during image download: {e}")
return False
def generate_image(
prompt_text: str,
image_path: str,
download_path: Optional[str] = None
) -> Optional[Dict]:
"""
Sends a request to the image generation API and optionally downloads the result.
Args:
prompt_text: The instructional text for image modification.
image_path: The file path to the input image (any common format).
download_path: If provided, the path to save the generated image.
Returns:
A dictionary of the JSON response from the API, or None on error.
"""
url = "https://kontext-chat.replicate.dev/generate-image"
try:
# --- Image Normalization Step ---
with Image.open(image_path) as img:
if img.mode != 'RGB':
img = img.convert('RGB')
with BytesIO() as output_buffer:
img.save(
output_buffer,
format="JPEG",
quality=95,
subsampling=0,
progressive=False
)
image_bytes = output_buffer.getvalue()
except FileNotFoundError:
print(f"Error: Image file not found at {image_path}")
return None
except Exception as e:
print(f"Error processing image file. Ensure it's a valid image. Details: {e}")
return None
encoded_string = base64.b64encode(image_bytes).decode('utf-8')
input_image_data_uri = f"data:image/jpeg;base64,{encoded_string}"
payload = {
"prompt": prompt_text,
"input_image": input_image_data_uri
}
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:139.0) Gecko/20100101 Firefox/139.0",
"Accept": "*/*",
"Content-Type": "application/json",
"Referer": "https://kontext-chat.replicate.dev/",
"Origin": "https://kontext-chat.replicate.dev",
}
try:
response = requests.post(url, headers=headers, data=json.dumps(payload))
response.raise_for_status()
api_response_data = response.json()
# --- Optional Download Logic ---
if download_path and isinstance(api_response_data, dict):
image_url = api_response_data.get("imageUrl")
if image_url:
_download_image_from_url(image_url, download_path)
else:
print("Warning: 'imageUrl' not found in response, could not download image.")
return api_response_data
except requests.exceptions.RequestException as e:
print(f"API request failed: {e}")
return None |