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Fix indentation after NBSP cleanup in app.py
Browse files- __pycache__/app.cpython-311.pyc +0 -0
- app.py +138 -137
- services/ai_studio.py +3 -2
- services/studio.py +3 -2
- services/utilities.py +3 -2
- services/vision.py +3 -2
__pycache__/app.cpython-311.pyc
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Binary file (12 kB). View file
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app.py
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@@ -1,4 +1,4 @@
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import os
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import time
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from flask import Flask, render_template, request, jsonify, send_from_directory
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from werkzeug.utils import secure_filename
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@@ -32,56 +32,56 @@ utilities_service = UtilitiesService()
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# --- Helpers ---
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def allowed_file(filename):
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'.' in filename
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)
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def get_file_path(filename):
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def generate_output_filename(original_filename, prefix="processed"):
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# --- Page Routes (Frontend) ---
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@app.route('/')
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def index():
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@app.route('/studio')
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def studio():
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@app.route('/vision')
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def vision():
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@app.route('/ai-studio')
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def ai_studio():
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@app.route('/utilities')
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def utilities():
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@app.route('/about')
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def about():
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#@app.route('/products')
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#def products():
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#
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@app.route('/docs')
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def docs():
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@app.route('/download')
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def download():
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@@ -91,159 +91,160 @@ def download():
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@app.route('/api/upload', methods=['POST'])
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def upload_file():
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# --- API: Studio (Image Editing) ---
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@app.route('/api/process-studio', methods=['POST'])
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def process_studio():
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# --- API: Vision (YOLO, BG Remove) ---
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@app.route('/api/process-vision', methods=['POST'])
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def process_vision():
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# --- API: AI Studio (Colorize, Upscale) ---
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@app.route('/api/process-ai', methods=['POST'])
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def process_ai():
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# --- API: Utilities (Convert, Resize) ---
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@app.route('/api/process-utility', methods=['POST'])
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def process_utility():
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# --- Serve Static Files (Images) ---
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@app.route('/static/uploads/<filename>')
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def uploaded_file(filename):
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if __name__ == '__main__':
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import os
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import time
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from flask import Flask, render_template, request, jsonify, send_from_directory
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from werkzeug.utils import secure_filename
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# --- Helpers ---
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def allowed_file(filename):
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return (
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'.' in filename and
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filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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)
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def get_file_path(filename):
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return os.path.join(app.config['UPLOAD_FOLDER'], secure_filename(filename))
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def generate_output_filename(original_filename, prefix="processed"):
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timestamp = int(time.time())
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name, ext = os.path.splitext(original_filename)
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return f"{prefix}_{timestamp}_{name}{ext}"
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# --- Page Routes (Frontend) ---
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@app.route('/')
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def index():
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return render_template('onboarding.html')
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@app.route('/studio')
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def studio():
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return render_template('studio.html')
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@app.route('/vision')
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def vision():
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return render_template('vision.html')
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@app.route('/ai-studio')
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def ai_studio():
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return render_template('ai_studio.html')
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@app.route('/utilities')
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def utilities():
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return render_template('utilities.html')
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@app.route('/about')
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def about():
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return render_template('about.html')
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#@app.route('/products')
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#def products():
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# return render_template('products.html')
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@app.route('/docs')
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def docs():
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return render_template('docs.html')
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@app.route('/download')
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def download():
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return render_template('download.html')
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@app.route('/api/upload', methods=['POST'])
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def upload_file():
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if 'file' not in request.files:
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return jsonify({'success': False, 'error': 'No file part'}), 400
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file = request.files['file']
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if file.filename == '':
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return jsonify({'success': False, 'error': 'No selected file'}), 400
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if file and allowed_file(file.filename):
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# Create unique filename
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filename = secure_filename(f"{int(time.time())}_{file.filename}")
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filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
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file.save(filepath)
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return jsonify({
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'success': True,
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'filename': filename,
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'url': f"/static/uploads/{filename}"
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})
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return jsonify({'success': False, 'error': 'Invalid file type'}), 400
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# --- API: Studio (Image Editing) ---
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@app.route('/api/process-studio', methods=['POST'])
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def process_studio():
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try:
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data = request.json
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filename = data.get('filename')
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options = data.get('options') # Contains brightness, contrast, filter, etc.
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if not filename or not options:
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return jsonify({'success': False, 'error': 'Missing parameters'}), 400
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input_path = get_file_path(filename)
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output_filename = generate_output_filename(filename, "edit")
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output_path = os.path.join(app.config['UPLOAD_FOLDER'], output_filename)
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# Call Service
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success, result = studio_service.process_request(input_path, output_path, options)
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if success:
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return jsonify({
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'success': True,
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'url': f"/static/uploads/{output_filename}",
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'filename': output_filename
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})
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else:
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return jsonify({'success': False, 'error': str(result)}), 500
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)}), 500
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# --- API: Vision (YOLO, BG Remove) ---
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@app.route('/api/process-vision', methods=['POST'])
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def process_vision():
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try:
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data = request.json
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filename = data.get('filename')
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task = data.get('task')
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# extra options like 'color' for bg replacement or 'value' for blur intensity
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options = data
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if not filename or not task:
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return jsonify({'success': False, 'error': 'Missing parameters'}), 400
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input_path = get_file_path(filename)
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output_filename = generate_output_filename(filename, f"vision_{task}")
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output_path = os.path.join(app.config['UPLOAD_FOLDER'], output_filename)
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success, result_meta = vision_service.process_request(input_path, output_path, task, options)
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if success:
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response = {
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'success': True,
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'url': f"/static/uploads/{output_filename}",
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'filename': output_filename
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}
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# Add detections if they exist (for YOLO)
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if isinstance(result_meta, dict) and 'detections' in result_meta:
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response['detections'] = result_meta['detections']
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return jsonify(response)
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else:
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return jsonify({'success': False, 'error': str(result_meta)}), 500
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)}), 500
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# --- API: AI Studio (Colorize, Upscale) ---
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@app.route('/api/process-ai', methods=['POST'])
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def process_ai():
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try:
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data = request.json
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filename = data.get('filename')
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task = data.get('task')
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if not filename or not task:
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return jsonify({'success': False, 'error': 'Missing parameters'}), 400
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input_path = get_file_path(filename)
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output_filename = generate_output_filename(filename, f"ai_{task}")
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output_path = os.path.join(app.config['UPLOAD_FOLDER'], output_filename)
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success, result = ai_service.process_request(input_path, output_path, task)
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if success:
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return jsonify({
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'success': True,
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'url': f"/static/uploads/{output_filename}",
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'filename': output_filename
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})
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else:
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return jsonify({'success': False, 'error': str(result)}), 500
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)}), 500
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# --- API: Utilities (Convert, Resize) ---
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@app.route('/api/process-utility', methods=['POST'])
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def process_utility():
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try:
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data = request.json
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filename = data.get('filename')
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# Service handles specific logic internally
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input_path = get_file_path(filename)
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# Output directory is passed so service can generate name based on format
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output_dir = app.config['UPLOAD_FOLDER']
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success, result = utilities_service.process_request(input_path, output_dir, data)
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if success:
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if data.get('action') == 'metadata':
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return jsonify({'success': True, 'metadata': result})
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else:
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return jsonify({
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'success': True,
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'url': f"/static/uploads/{result}",
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'filename': result
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})
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else:
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return jsonify({'success': False, 'error': str(result)}), 500
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)}), 500
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# --- Serve Static Files (Images) ---
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@app.route('/static/uploads/<filename>')
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def uploaded_file(filename):
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return send_from_directory(app.config['UPLOAD_FOLDER'], filename)
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if __name__ == '__main__':
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print("🚀 Radiant AI Server (local dev)")
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app.run(host='0.0.0.0', port=7860)
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services/ai_studio.py
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import os
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import cv2
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import numpy as np
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from cv2 import dnn_superres
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result = cv2.fastNlMeansDenoisingColored(img, None, 10, 10, 7, 21)
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cv2.imwrite(output_path, result)
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return True, output_path
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import os
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import cv2
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import numpy as np
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from cv2 import dnn_superres
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result = cv2.fastNlMeansDenoisingColored(img, None, 10, 10, 7, 21)
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cv2.imwrite(output_path, result)
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return True, output_path
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services/studio.py
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import cv2
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import numpy as np
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class StudioService:
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return cv2.bitwise_and(color, cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR))
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# Fallback for others (summer, winter, etc) or return original
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return img
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import cv2
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import numpy as np
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class StudioService:
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return cv2.bitwise_and(color, cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR))
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# Fallback for others (summer, winter, etc) or return original
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return img
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services/utilities.py
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import os
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from PIL import Image, ExifTags
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class UtilitiesService:
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@@ -126,4 +126,5 @@ class UtilitiesService:
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if len(exif_data) <= 3: # Only basic info found
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exif_data['Note'] = "No advanced EXIF data found in this image."
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-
return exif_data
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import os
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from PIL import Image, ExifTags
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class UtilitiesService:
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if len(exif_data) <= 3: # Only basic info found
|
| 127 |
exif_data['Note'] = "No advanced EXIF data found in this image."
|
| 128 |
|
| 129 |
+
return exif_data
|
| 130 |
+
|
services/vision.py
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
import os
|
| 2 |
import cv2
|
| 3 |
import numpy as np
|
| 4 |
from rembg import remove
|
|
@@ -176,4 +176,5 @@ class VisionService:
|
|
| 176 |
upper = int(min(255, (1.0 + sigma) * v))
|
| 177 |
|
| 178 |
edges = cv2.Canny(blurred, lower, upper)
|
| 179 |
-
return cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR)
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
import cv2
|
| 3 |
import numpy as np
|
| 4 |
from rembg import remove
|
|
|
|
| 176 |
upper = int(min(255, (1.0 + sigma) * v))
|
| 177 |
|
| 178 |
edges = cv2.Canny(blurred, lower, upper)
|
| 179 |
+
return cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR)
|
| 180 |
+
|