https://github.com/squidmin/gemini-api-backend

Backend service for experimenting with the Gemini API
https://github.com/squidmin/gemini-api-backend

fastapi gemini gemini-api python python3

Last synced: 9 days ago
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Backend service for experimenting with the Gemini API

• Host: GitHub
• URL: https://github.com/squidmin/gemini-api-backend
• Owner: squidmin
• Created: 2024-03-20T18:22:15.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-04-26T00:00:14.000Z (6 months ago)
• Last Synced: 2024-10-12T22:56:37.305Z (24 days ago)
• Topics: fastapi, gemini, gemini-api, python, python3
• Language: Python
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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.

```shell

pip3 install -r requirements.txt

```

### 3. Run the application

You can run the application using `uvicorn`.

```shell

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.

```shell

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:

```shell

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

```

---

## Usage

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