Update app.py

app.py

@@ -2,6 +2,7 @@ from flask import Flask, render_template, send_from_directory, request, jsonify
 from simple_salesforce import Salesforce
 from dotenv import load_dotenv
 import os
+from openai import OpenAI
 
 # Load environment variables from .env file
 load_dotenv()
@@ -25,6 +26,9 @@ def get_salesforce_connection():
 # Initialize Salesforce connection
 sf = get_salesforce_connection()
 
+# Initialize OpenAI client
+openai_client = OpenAI(api_key=os.getenv('OPENAI_API_KEY'))
+
 @app.route('/')
 def index():
     return render_template('index.html')
@@ -58,5 +62,27 @@ def get_ingredients():
     except Exception as e:
         return jsonify({"error": f"Failed to fetch ingredients: {str(e)}"}), 500
 
+@app.route('/get_food_suggestions', methods=['POST'])
+def get_food_suggestions():
+    selected_ingredients = request.json.get('ingredients', [])
+    if not selected_ingredients:
+        return jsonify({"error": "No ingredients selected"}), 400
+
+    prompt = f"Suggest some food items using the following ingredients: {', '.join(selected_ingredients)}. Provide a list of 3-5 recipe ideas."
+    
+    try:
+        response = openai_client.chat.completions.create(
+            model="gpt-3.5-turbo",  # or "gpt-4" if you have access
+            messages=[
+                {"role": "system", "content": "You are a helpful chef assistant."},
+                {"role": "user", "content": prompt}
+            ],
+            max_tokens=150
+        )
+        suggestions = response.choices[0].message.content.strip().split('\n')
+        return jsonify({"suggestions": suggestions})
+    except Exception as e:
+        return jsonify({"error": f"Failed to get food suggestions: {str(e)}"}), 500
+
 if __name__ == '__main__':
     app.run(debug=True, host='0.0.0.0', port=7860)