gemini-api-backend

This is a backend service for experimenting with the Gemini API.

Installation

1. Install Python

You can install Python using pyenv on macOS or Linux. On Windows, you can use pyenv-win.

2. Install dependencies

You can install the dependencies using pip and the requirements.txt file.

pip3 install -r requirements.txt

3. Run the application

You can run the application using uvicorn.

uvicorn main:app --reload

The --reload flag enables hot reloading so the server will automatically reload when you make changes to your code. You should see output indicating that the server is running, typically on http://127.0.0.1:8000.

Building a Docker image

You can build the Docker image using the Dockerfile in the root directory.

docker build -t gemini-api-backend .

Running a container locally

Use the docker run command and pass the gemini-api-backend service account key as an environment variable:

docker run -p 8000:8000 \
  -v /Users/admin/.config/gcloud/sa-private-key.json:/secrets/sa-private-key.json \
  -e GOOGLE_APPLICATION_CREDENTIALS=/secrets/sa-private-key.json \
  gemini-api-backend

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Usage

You can use the backend to interact with Gemini models, execute code, and perform other tasks.