app.py

from flask import Flask, request, jsonify, render_template
import base64
import re
import requests

app = Flask(__name__)

# OpenAI API Key devlim
api_key = "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"

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/save_image', methods=['POST'])
def save_image():
    data = request.get_json()
    image_data = data['image']
    
    # Decode the base64 image data
    image_data = re.sub('^data:image/.+;base64,', '', image_data)
    base64_image = image_data  # This is the base64 string of the image

    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }

    payload = {
    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
        "content": [
            {
            "type": "text",
            "text": "이미지를 입력받으면 당류가 몇 g인지 예시와 같은 형식만 출력하시오.\n예) 당류 : 10g \n상품분석표가 아니라면 'error'를 출력하시오."
            },
            {
            "type": "image_url",
            "image_url": {
                "url": f"data:image/jpeg;base64,{base64_image}"
            }
            }
        ]
        }
    ],
    "max_tokens": 300
    }

    response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)

    if response.status_code == 200:
        result = response.json()
        analysis_result = result['choices'][0]['message']['content']
    else:
        analysis_result = "Error: 당류를 찾을 수 없습니다."

    return jsonify({'message': '분석이 완료되었습니다.', 'analysis_result': analysis_result})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860, debug=True)