Update app.py

app.py

@@ -2,6 +2,10 @@ from flask import Flask, render_template, send_from_directory, request, jsonify
 from simple_salesforce import Salesforce
 from dotenv import load_dotenv
 import os
+import openai
+
+openai.api_key = "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"
+
 
 # Load environment variables from .env file
 load_dotenv()
@@ -74,6 +78,31 @@ def submit_ingredients():
     print(f"Ingredients submitted: {ingredients}")
 
     return jsonify({'success': True})
+@app.route('/get_dish_suggestions', methods=['POST'])
+def get_dish_suggestions():
+    selected_ingredients = request.json.get('ingredients', [])
+    if not selected_ingredients:
+        return jsonify({'error': 'No ingredients selected'}), 400
+    
+    ingredients_text = ', '.join([ingredient['name'] for ingredient in selected_ingredients])
+    prompt = f"Suggest a recipe based on the following ingredients: {ingredients_text}"
+
+    try:
+        # Request a response from the OpenAI API (ChatGPT)
+        response = openai.Completion.create(
+            model="gpt-4",  # or use another version (e.g., 'gpt-3.5-turbo')
+            prompt=prompt,
+            max_tokens=100,  # Limit the response length
+            n=1,  # Number of responses
+            stop=None,  # Optional: define where the response should stop
+            temperature=0.7  # Control the creativity of the response
+        )
+
+        dish_suggestions = response.choices[0].text.strip()  # Get the suggested dishes
+        return jsonify({"suggestions": dish_suggestions})
+    
+    except Exception as e:
+        return jsonify({"error": f"Error generating suggestions: {str(e)}"}), 500