Update app.py

app.py

@@ -2,7 +2,6 @@ from flask import Flask, render_template, send_from_directory, request, jsonify
 from simple_salesforce import Salesforce
 from dotenv import load_dotenv
 import os
-import json
 import requests
 
 # Load environment variables from .env file
@@ -63,71 +62,46 @@ def get_ingredients():
     except Exception as e:
         return jsonify({"error": f"Failed to fetch ingredients: {str(e)}"}), 500
 
-# Mock endpoint to generate South Indian recipes (replace with ChatGPT API)
+# Endpoint to generate South Indian recipes using OpenAI ChatGPT
 @app.route('/generate_recipes', methods=['POST'])
 def generate_recipes():
     data = request.json
     selected_ingredients = data.get('ingredients', [])
     
-    # Mock response simulating ChatGPT (replace with real API call)
-    ingredients_str = ', '.join(selected_ingredients)
-    mock_response = {
-        "recipes": [
-            {
-                "name": "Pongal",
-                "image_url": "https://via.placeholder.com/100?text=Pongal",
-                "description": "A traditional Tamil Nadu dish made with rice and moong dal, seasoned with ghee, pepper, and cumin, reflecting the simplicity and warmth of South Indian breakfasts.",
-                "details": {
-                    "preparation": "Cook rice and moong dal with water, temper with ghee, cumin, pepper, and cashews, and serve hot with chutney.",
-                    "key_ingredients": ["rice", "moong dal", "ghee", "pepper", "cumin"]
-                }
-            },
-            {
-                "name": "Payasam",
-                "image_url": "https://via.placeholder.com/100?text=Payasam",
-                "description": "A creamy Kerala dessert made with milk, jaggery, and rice, enriched with cardamom and coconut, a staple in South Indian festivities.",
-                "details": {
-                    "preparation": "Boil milk, add rice and jaggery, simmer until thick, and flavor with cardamom and coconut.",
-                    "key_ingredients": ["milk", "jaggery", "rice", "cardamom", "coconut"]
-                }
-            },
-            {
-                "name": "Idli",
-                "image_url": "https://via.placeholder.com/100?text=Idli",
-                "description": "A fluffy steamed cake from Karnataka, made with fermented rice and urad dal, served with sambar and chutney, embodying South Indian comfort food.",
-                "details": {
-                    "preparation": "Ferment rice and urad dal batter, steam in idli molds, and serve with sambar and coconut chutney.",
-                    "key_ingredients": ["rice", "urad dal", "sambar", "chutney"]
-                }
-            },
-            {
-                "name": "Dosa",
-                "image_url": "https://via.placeholder.com/100?text=Dosa",
-                "description": "A crispy Andhra Pradesh crepe made from fermented rice and urad dal, often filled with potato masala, a versatile South Indian delight.",
-                "details": {
-                    "preparation": "Spread fermented batter on a hot griddle, cook until crispy, add potato filling, and serve with chutney.",
-                    "key_ingredients": ["rice", "urad dal", "potato", "chutney"]
-                }
-            },
-            {
-                "name": "Upma",
-                "image_url": "https://via.placeholder.com/100?text=Upma",
-                "description": "A savory Tamil Nadu porridge made with semolina, tempered with mustard seeds and curry leaves, a quick yet flavorful breakfast option.",
-                "details": {
-                    "preparation": "Roast semolina, cook with water, and temper with mustard seeds, curry leaves, and vegetables.",
-                    "key_ingredients": ["semolina", "mustard seeds", "curry leaves", "vegetables"]
-                }
-            }
-        ]
+    if not selected_ingredients:
+        return jsonify({"error": "No ingredients selected"}), 400
+
+    api_key = os.getenv('CHATGPT_API_KEY')
+    if not api_key:
+        return jsonify({"error": "CHATGPT_API_KEY not configured in .env"}), 500
+
+    headers = {
+        'Authorization': f'Bearer {api_key}',
+        'Content-Type': 'application/json'
     }
+    ingredients_str = ', '.join(selected_ingredients)
+    prompt = f"Generate 5 authentic South Indian recipes using {ingredients_str}. For each recipe, provide: name, image_url (use placeholder like https://via.placeholder.com/100?text={{name}}), description (a short engaging summary), details (an object with preparation steps and key ingredients as a list). Return the response as a JSON array of recipe objects."
     
-    # Filter recipes based on selected ingredients (mock logic)
-    filtered_recipes = [
-        recipe for recipe in mock_response["recipes"]
-        if any(ing in ingredients_str.lower() for ing in recipe["details"]["key_ingredients"])
-    ][:5]  # Limit to 5 recipes
-    
-    return jsonify({"recipes": filtered_recipes})
+    payload = {
+        'model': 'gpt-3.5-turbo',
+        'messages': [{'role': 'user', 'content': prompt}],
+        'max_tokens': 500
+    }
+
+    try:
+        response = requests.post('https://api.openai.com/v1/chat/completions', headers=headers, json=payload)
+        response.raise_for_status()
+        result = response.json()
+        content = result['choices'][0]['message']['content']
+        
+        # Parse the ChatGPT response (assuming it returns JSON-like string)
+        import json
+        recipes = json.loads(content)  # Adjust parsing based on actual ChatGPT output format
+        return jsonify({"recipes": recipes})
+    except requests.exceptions.RequestException as e:
+        return jsonify({"error": f"Failed to connect to ChatGPT API: {str(e)}"}), 500
+    except json.JSONDecodeError as e:
+        return jsonify({"error": f"Failed to parse ChatGPT response: {str(e)}. Raw response: {content}"}), 500
 
 if __name__ == '__main__':
     app.run(debug=True, host='0.0.0.0', port=7860)