Learn How to Develop a Generative AI Calorie Counter App Using Google’s Gemini 1.5-Pro-Latest Model
Have you ever wished you could know the exact calories in your meal just by taking a picture of it? Well, you can now! With the Calorie Counter app I created, powered by Google’s Gemini 1.5-Pro-Latest model, you can easily estimate the total number of calories in your dish. Just snap a pic, and let the app do the rest!
Revolutionizing Calorie Counting with AI
In this article, I will guide you through the process of building a calorie counter app from scratch using Google’s Gemini 1.5-Pro-Latest model and Streamlit. The app takes an image of the food and a question about it as inputs and outputs the total calories and a breakdown by each food item in the image.
Introducing Gemini 1.5-Pro-Latest
Gemini 1.5-Pro-Latest is Google’s latest AI language model with enhanced capabilities in natural language processing and generating text from prompts. This model can work with both text and images, making it perfect for our calorie counter app.
Building the Calorie Counter App
1. Set up your Folder Structure
Start by creating a project file, setting up a virtual environment, and creating necessary files like .env, calories.py, and requirements.txt.
2. Get the Google API Key
Obtain an API key from Google AI Studio for accessing the Gemini 1.5-Pro-Latest model and store it in your .env file.
3. Install Dependencies
List the required libraries like Streamlit, google-generativeai, and python-dotenv in your requirements.txt file and install them using pip.
4. Write the Python Script
Import the necessary libraries, configure the API key, define functions for processing images and generating responses, set up user prompts, and create the Streamlit user interface.
5. Run the Script and Interact with Your App
Execute the app in the terminal using Streamlit and interact with it by asking questions and uploading images of food items.
Deployment and Enhancements
Consider deploying the app using cloud services like AWS, Heroku, or Streamlit Community Cloud for external access. Be cautious of the limitations and potential risks of using the app and consider enhancements like contextual analysis of images and diversifying the training set for better accuracy.
With this calorie counter app, you can easily estimate the calories in your meals and make informed decisions about your diet. Embrace the power of AI in revolutionizing nutrition and explore the possibilities of generative AI applications in everyday life! Visit the Streamlit Community Cloud to deploy your app and start counting calories in a whole new way.