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Browse files- Dockerfile +11 -0
- app.py +32 -0
- image_handler.py +86 -0
- requirements.txt +5 -0
Dockerfile
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FROM python:3.10
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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CMD ["flask", "run", "--host", "0.0.0.0", "--port", "7860"]
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app.py
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# server.py
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from flask import Flask, request, jsonify
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from image_handler import ImageHandler
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import os
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app = Flask(__name__)
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image_handler = ImageHandler()
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@app.route('/v2/images/generations', methods=['POST'])
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def generate_images():
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try:
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# Verify authorization
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auth_header = request.headers.get('Authorization')
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if not auth_header or not auth_header.startswith('Bearer '):
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return jsonify({"error": "Invalid authorization"}), 401
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# Get request data
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data = request.get_json()
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# Validate required fields
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if not data.get('prompt'):
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return jsonify({"error": "prompt is required"}), 400
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# Generate images
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result = image_handler.generate_images(data)
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return jsonify(result)
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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if __name__ == '__main__':
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app.run(port=5000, debug=True)
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image_handler.py
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# image_handler.py
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import time
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from typing import Dict, Any
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from datetime import datetime
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import requests
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import base64
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from requests.exceptions import RequestException
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import tempfile
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import os
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class ImageHandler:
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def __init__(self):
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self.available_models = ["flux", "flux-realism", "flux-3d", "flux-pro",
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"flux-anime", "flux-cablyai", "turbo", "flux-dark"]
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self.base_url = "https://image.pollinations.ai/prompt/{prompt}"
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def _get_size_dimensions(self, size: str) -> tuple:
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size_map = {
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"256x256": (256, 256),
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"512x512": (512, 512),
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"1024x1024": (1024, 1024),
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"1792x1024": (1792, 1024),
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"1024x1792": (1024, 1792)
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}
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return size_map.get(size, (768, 768))
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def _save_temp_image(self, image_data: bytes) -> str:
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"""Save image to temporary file and return its URL."""
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temp_dir = tempfile.gettempdir()
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temp_file = os.path.join(temp_dir, f"image_{int(time.time())}.jpg")
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with open(temp_file, 'wb') as f:
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f.write(image_data)
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return f"file://{temp_file}"
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def generate_images(self, params: Dict[str, Any]) -> Dict[str, Any]:
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prompt = params.get("prompt")
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n = min(params.get("n", 1), 10)
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size = params.get("size", "1024x1024")
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model = params.get("model", "flux-pro")
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if model not in self.available_models:
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model = "flux-pro"
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response_format = params.get("response_format", "b64_json")
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if response_format != "b64_json":
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response_format = "bs64_json"
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width, height = self._get_size_dimensions(size)
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headers = {
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0",
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}
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images = []
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for _ in range(n):
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try:
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url = self.base_url.format(prompt=prompt)
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url += f"?width={width}&height={height}&model={model}"
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response = requests.get(url, headers=headers, timeout=60)
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response.raise_for_status()
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# Get the image data
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image_data = response.content
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if response_format == "b64_json":
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# Convert to base64
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image_b64 = base64.b64encode(image_data).decode('utf-8')
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images.append({"b64_json": image_b64})
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else:
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# Two options for URL:
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# 1. Save locally and return file URL (good for testing)
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# 2. Return the pollinations URL (might expire)
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# Option 1: Local file
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temp_url = self._save_temp_image(image_data)
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images.append({"url": temp_url})
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# Option 2: Pollinations URL (uncomment if preferred)
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# images.append({"url": url})
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except RequestException as e:
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raise Exception(f"Image generation failed: {str(e)}")
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return {
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"created": int(datetime.now().timestamp()),
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"data": images
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}
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requirements.txt
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fastapi==0.110.2
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Flask==3.0.3
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python-dotenv==1.0.1
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Requests==2.31.0
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uvicorn==0.29.0
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