app.py

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

app = Flask(__name__)

# Get API keys from environment variables
api_key = os.getenv('OPENAI_API_KEY')
huggingface_api_key = os.getenv('HUGGINGFACE_API_KEY')
huggingface_url = "https://huggingface.co/api/spaces/devlim/supernova/upload"

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

@app.route('/save_image', methods=['POST'])
def save_image():
    if 'image' not in request.files:
        return jsonify({'message': 'No image part in the request'}), 400

    file = request.files['image']
    
    if file.filename == '':
        return jsonify({'message': 'No selected file'}), 400

    # Save the image to a temporary file
    temp_image_path = os.path.join("temp", file.filename)
    file.save(temp_image_path)

    # Upload the image to Hugging Face Space
    headers = {
        "Authorization": f"Bearer {huggingface_api_key}"
    }
    files = {
        'file': (file.filename, open(temp_image_path, 'rb'), 'image/png')
    }
    response = requests.post(huggingface_url, headers=headers, files=files)
    
    if response.status_code != 200:
        os.remove(temp_image_path)
        return jsonify({'message': 'Error: 허깅페이스에 이미지를 업로드할 수 없습니다.'}), 500

    # Get the uploaded image URL from Hugging Face response
    uploaded_image_url = response.json()['url']

    # Prepare the payload for OpenAI API
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }
    payload = {
        "model": "gpt-4",
        "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": uploaded_image_url
                        }
                    }
                ]
            }
        ],
        "max_tokens": 300
    }

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

    os.remove(temp_image_path)

    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__':
    os.makedirs('temp', exist_ok=True)
    app.run(host='0.0.0.0', port=7860, debug=True)