Update app.py

app.py

@@ -129,9 +129,6 @@ def generate_custom_dish():
         if not dish_name or not description:
             return jsonify({"success": False, "error": "Both fields are required"}), 400
 
-        # Generate AI-based images (dummy URLs for now)
-        image1_url, image2_url = generate_ai_images(description)
-
         # Determine price based on description length
         price = random.randint(100, 300)  # Example logic for price setting
 
@@ -148,8 +145,6 @@ def generate_custom_dish():
             "Name": dish_name,
             "Price__c": price,
             "Description__c": description,
-            "Image1__c": image1_url,
-            "Image2__c": image2_url,
             "Veg_NonVeg__c": category,
             "Section__c": "Custom Dishes",
             "Total_Ordered__c": 0
@@ -162,56 +157,6 @@ def generate_custom_dish():
     except Exception as e:
         return jsonify({"success": False, "error": str(e)}), 500
 
-import openai
-import openai
-
-import openai
-
-import openai
-
-def generate_ai_images(description):
-    """
-    Use OpenAI's DALL·E API to generate images from a text description.
-    """
-    openai.api_key = 'YOUR_OPENAI_API_KEY'  # Replace with your OpenAI API key
-
-    try:
-        # Generate images from the description using OpenAI's DALL·E model
-        response = openai.Image.create(
-            prompt=description,
-            n=2,  # Generate 2 images
-            size="1024x1024"  # Image size (can adjust this)
-        )
-
-        # Extract image URLs from the response
-        image1_url = response['data'][0]['url']
-        image2_url = response['data'][1]['url']
-
-        return image1_url, image2_url
-
-    except openai.InvalidRequestError as e:
-        # Handle invalid request errors (e.g., invalid parameters)
-        raise Exception(f"Invalid request error: {str(e)}")
-
-    except openai.AuthenticationError as e:
-        # Handle authentication errors (invalid API key)
-        raise Exception(f"Authentication error: {str(e)}")
-
-    except openai.RateLimitError as e:
-        # Handle rate limit errors (API request limit exceeded)
-        raise Exception(f"Rate limit error: {str(e)}")
-
-    except openai.OpenAIError as e:
-        # Catch any other OpenAI-related errors
-        raise Exception(f"OpenAI API error: {str(e)}")
-
-    except Exception as e:
-        # Catch all other unexpected exceptions
-        raise Exception(f"Unexpected error: {str(e)}")
-
-
-
-
 import re
 @app.route("/customer_details", methods=["GET"])
 def customer_details():