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| from flask import Flask, render_template, request, jsonify, session, send_from_directory | |
| import os | |
| from llms import prompt_llm_image, prompt_llm, parse_bullet_points | |
| app = Flask(__name__) | |
| from flask import jsonify, Response | |
| def health(): | |
| return jsonify(status="ok") | |
| def ping(): | |
| return Response("pong", mimetype="text/plain") | |
| app.secret_key = "32fe450cc58c8e1487b36b9e7f06d349f67afa85d4a074e151a75e5f39517d0c" | |
| UPLOAD_FOLDER = "uploads" | |
| os.makedirs(UPLOAD_FOLDER, exist_ok=True) | |
| def index(): | |
| return render_template("index.html") | |
| def upload_image(): | |
| if "image" not in request.files: | |
| return jsonify({"error": "No image uploaded"}) | |
| file = request.files["image"] | |
| if file.filename == "": | |
| return jsonify({"error": "No image selected"}) | |
| filename = file.filename | |
| filepath = os.path.join(UPLOAD_FOLDER, filename) | |
| file.save(filepath) | |
| # Analyze image with LLM | |
| image_prompt = """ | |
| You are helpful museum guide who can explain the history of fashion items. | |
| Analyze this fashion/clothing image and identify the 5 most interesting items. | |
| For EACH item, provide: | |
| 1. A short name (8 words max) | |
| 2. The approximate location as a percentage from top-left corner (x, y coordinates where 0,0 is top-left and 100,100 is bottom-right) | |
| Format your response EXACTLY like this: | |
| - Item name | x,y | |
| Example: | |
| - Elegant lace collar detail | 50,20 | |
| - Puffed sleeve with gathered fabric | 20,40 | |
| - Pearl button embellishments | 50,60 | |
| Give me exactly 5 items in this format. | |
| """ | |
| response = prompt_llm_image(filepath, image_prompt) | |
| # Parse items with coordinates | |
| items_with_coords = [] | |
| for line in response.strip().split('\n'): | |
| line = line.strip() | |
| if line.startswith('-') or line.startswith('•'): | |
| line = line.lstrip('-•').strip() | |
| if '|' in line: | |
| parts = line.split('|') | |
| item_name = parts[0].strip() | |
| coords = parts[1].strip() if len(parts) > 1 else "50,50" | |
| items_with_coords.append({"name": item_name, "coords": coords}) | |
| # Fallback if no coordinates found | |
| if not items_with_coords: | |
| bullet_list = parse_bullet_points(response) | |
| items_with_coords = [{"name": item, "coords": "50,50"} for item in bullet_list] | |
| session["image_path"] = filepath | |
| session["items"] = items_with_coords | |
| return jsonify({ | |
| "success": True, | |
| "items": items_with_coords, | |
| "image_filename": filename, | |
| "raw_response": response | |
| }) | |
| def explain_item(): | |
| data = request.get_json() | |
| item_index = data.get("item_index") | |
| if "items" not in session or item_index >= len(session["items"]): | |
| return jsonify({"error": "Invalid item selection"}) | |
| item_data = session["items"][item_index] | |
| item = item_data["name"] if isinstance(item_data, dict) else item_data | |
| history_prompt = f""" | |
| explain the item: {item} | |
| * instructions: | |
| - a short quick history time period of the item | |
| - make your response structured as follows: | |
| # History of the item | |
| - Circa 1890 | |
| # Where is it popular | |
| - United States | |
| # What is it made of | |
| - Gold | |
| # What is it used for | |
| - Jewelry | |
| # Who made it | |
| - Tiffany & Co. | |
| # Who owned it | |
| - John D. Rockefeller | |
| """ | |
| explanation = prompt_llm(history_prompt) | |
| return jsonify({"success": True, "item": item, "explanation": explanation}) | |
| def uploaded_file(filename): | |
| return send_from_directory(UPLOAD_FOLDER, filename) | |
| if __name__ == "__main__": | |
| import os | |
| app.run(host="0.0.0.0", port=int(os.getenv("PORT", 7860))) | |