Update app.py

app.py

@@ -10,15 +10,6 @@ api_key = "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"
 
 app = Flask(__name__)
 
-# Ensure the directory exists and set appropriate permissions
-uploads_dir = 'uploads'
-os.makedirs(uploads_dir, exist_ok=True)
-
-# Function to encode the image
-def encode_image(image_path):
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
 @app.route('/')
 def index():
     return render_template('index.html')
@@ -32,19 +23,8 @@ def save_image():
     image_data = re.sub('^data:image/.+;base64,', '', image_data)
     image_data = base64.b64decode(image_data)
     
-    # Create a unique file name
-    timestamp = datetime.now().strftime('%Y%m%d%H%M%S')
-    file_path = os.path.join(uploads_dir, f'captured_image_{timestamp}.png')
-    
-    # Save the image to a file
-    with open(file_path, 'wb') as f:
-        f.write(image_data)
-
-    # Path to your image
-    image_path = file_path
-
-    # Getting the base64 string
-    base64_image = encode_image(image_path)
+    # Encode image to base64 string
+    base64_image = base64.b64encode(image_data).decode('utf-8')
 
     headers = {
         "Content-Type": "application/json",
@@ -81,11 +61,7 @@ def save_image():
     else:
         analysis_result = "Error: 당류를 찾을 수 없습니다."
 
-    return jsonify({'message': '분석이 완료되었습니다.', 'image_url': file_path, 'analysis_result': analysis_result})
-
-@app.route('/images/<filename>')
-def get_image(filename):
-    return send_from_directory('.', filename)
+    return jsonify({'message': '분석이 완료되었습니다.', 'analysis_result': analysis_result})
 
 if __name__ == '__main__':
     app.run(host='0.0.0.0', port=7860, debug=True)