Cooking Companion

How can the Cooking Companion app benefit a food-related business?

The Cooking Companion app can significantly enhance a food-related business by providing an interactive and personalized cooking experience for customers. It can be integrated into a restaurant's website to offer recipe suggestions based on their menu items, or used by food bloggers to provide an AI-powered cooking assistant to their audience. This engagement can increase customer loyalty and time spent on the platform, potentially leading to increased sales or ad revenue.

What are some potential monetization strategies for the Cooking Companion app?

There are several ways to monetize the Cooking Companion app:

How can the Cooking Companion app be adapted for different cuisines or dietary requirements?

The Cooking Companion app is highly adaptable to various cuisines and dietary requirements. This can be achieved by modifying the initial prompt in the home() function to include specific dietary or cuisine preferences. For example, you could add a dropdown menu for users to select their dietary needs (vegan, gluten-free, etc.) or preferred cuisine type. The app would then pass this information to the AI model when generating recipes or answering questions, ensuring that all content is tailored to the user's specific needs.

How can I modify the Cooking Companion app to include images of the dishes?

To include images of the dishes, you can integrate an image generation AI or use a pre-existing image database. Here's an example of how you could modify the home() function to include an image URL in the session data:

```python @app.route('/', methods=['GET', 'POST']) def home(): if request.method == 'POST': dish = request.form['dish'] # ... existing code ...

       # Add this section to generate or fetch an image URL
       image_prompt = f"Generate an image URL for {dish}"
       image_url = llm_prompt(prompt=image_prompt, model=None, temperature=0.5)

       session['image_url'] = image_url
       return render_template_string(TEMPLATE, ingredients=session['ingredients'], steps=[session['steps'][session['current_step']]], image_url=session['image_url'])

```

Then, in your HTML template, you can add an <img> tag to display the image:

html {% if session.get('image_url') %} <img src="{{ session['image_url'] }}" alt="{{ dish }}" style="max-width: 300px;"> {% endif %}

How can I extend the Cooking Companion app to save user preferences and favorite recipes?

To save user preferences and favorite recipes, you'll need to implement user authentication and database storage. Here's a basic example of how you could modify the app to include this functionality:

```python from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager, UserMixin, login_user, login_required, current_user

app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///users.db' db = SQLAlchemy(app) login_manager = LoginManager(app)

class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(80), unique=True, nullable=False) favorites = db.relationship('Favorite', backref='user', lazy=True)

class Favorite(db.Model): id = db.Column(db.Integer, primary_key=True) recipe_name = db.Column(db.String(120), nullable=False) user_id = db.Column(db.Integer, db.ForeignKey('user.id'), nullable=False)

@app.route('/favorite', methods=['POST']) @login_required def add_favorite(): recipe_name = request.form['recipe_name'] new_favorite = Favorite(recipe_name=recipe_name, user_id=current_user.id) db.session.add(new_favorite) db.session.commit() return jsonify({'status': 'success'}) ```

This code sets up a basic user model and a favorites system. You'd need to add more routes for user registration, login, and viewing favorites. Remember to update your HTML template to include buttons or links for these new features.