Delete app.py

app.py

@@ -1,89 +0,0 @@
-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)