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feat: add swot-agent Gemini sample app (#1550)
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Gemini 2.0 sample app using the Pydantic AI agent framework.

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Co-authored-by: Holt Skinner <[email protected]>
Co-authored-by: Holt Skinner <[email protected]>
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HMO
HREDRAW
HSA
HTMX
HVDC
HZN
Hadoop
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podfile
podhelper
powerups
praw
prcntg
preds
produc
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seaborn
seatback
selectbox
selftext
selkirk
seo
setlocal
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7 changes: 7 additions & 0 deletions gemini/sample-apps/swot-agent/.dockerignore
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__pycache__
*.pyc
*.pyo
.git
.gitignore
tests/
.pytest_cache/
10 changes: 10 additions & 0 deletions gemini/sample-apps/swot-agent/Dockerfile
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FROM python:3.10-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080"]
202 changes: 202 additions & 0 deletions gemini/sample-apps/swot-agent/LICENSE
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130 changes: 130 additions & 0 deletions gemini/sample-apps/swot-agent/README.md
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# swot-agent

[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg?logo=python&logoColor=white)](https://www.python.org/downloads/release/python-3100/)
[![FastAPI](https://img.shields.io/badge/FastAPI-0.115.6+-green.svg)](https://fastapi.tiangolo.com)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A web application that performs automated [SWOT analysis](https://en.wikipedia.org/wiki/SWOT_analysis) (Strengths, Weaknesses, Opportunities, Threats) analysis using the [Gemini 2.0 Flash model](https://ai.google.dev/gemini-api/docs/models/gemini-v2) and the [Pydantic AI](https://ai.pydantic.dev/) agent framework. The application is built with [FastAPI](https://fastapi.tiangolo.com/), [HTMX](https://htmx.org/), and [Tailwind CSS](https://tailwindcss.com/).

![SWOT Analysis Demo](swot-agent.gif)

The agent includes three tools:

- **Content Extraction**: Extracts content from a web page given a URL
- **Community Insights**: Calls Reddit API to get community insights from relevant subreddits
- **Competitive Analysis**: Calls Gemini API to get competitive analysis

## Getting Started

### Prerequisites

- Python 3.10+
- Google Cloud API credentials
- Optional: [Reddit API credentials](https://www.reddit.com/prefs/apps) (for Reddit content extraction)

### Installation

1. Clone the repository and change to the `swot-agent` directory.

1. Install the required dependencies:

```bash
pip install -r requirements.txt
```

1. Set up your environment variables:

```bash
# Google Cloud settings
export GOOGLE_CLOUD_PROJECT=your_project_id
export GOOGLE_APPLICATION_CREDENTIALS=path_to_service_account.json

# (Optional) Reddit API credentials
export REDDIT_CLIENT_ID=your_reddit_client_id
export REDDIT_CLIENT_SECRET=your_reddit_client_secret

# (Optional) Application settings
export APP_SECRET_KEY=your_secret_key
```

1. Run the application:

```bash
python main.py
```

You can also use the [FastAPI CLI](https://fastapi.tiangolo.com/deployment/cli/):

```bash
fastapi dev --port 8080
```

1. Open your web browser and navigate to `http://localhost:8080`.

## Usage

1. Enter a valid URL in the input field
1. Click **"Analyze"** to initiate the AI SWOT analysis
1. The AI agent will:
- Extract content from the provided URL
- Process the content using Gemini 2.0
- Generate structured SWOT insights
- Present results in an organized format
1. View the SWOT analysis results

## Deployment

To deploy the application to [Google Cloud Run](https://cloud.google.com/run), run the following command:

```bash
gcloud run deploy swot-agent --source . --region us-central1 --allow-unauthenticated
```

You may need to add the `aiplatform.user` [IAM role](https://cloud.google.com/vertex-ai/docs/general/access-control#aiplatform.user) to your service account.

[Configure secrets](https://cloud.google.com/run/docs/configuring/services/secrets) for the `APP_SECRET_KEY`, `REDDIT_CLIENT_ID`, and `REDDIT_CLIENT_SECRET`. You can run the application without setting these, but the Reddit tool will not be available.

## Troubleshooting

If you receive an error about the Gemini quota being exceeded, you can [request a quota increase](https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai) or try another model.

## Testing

The project includes test suites for both the AI agent and the FastAPI application in the `tests` directory.

### Running Tests

1. Install test dependencies:

```bash
pip install pytest pytest-asyncio httpx
```

1. Run all tests:

```bash
pytest -v
```

## Project Structure

```text
swot-agent/
├── main.py # FastAPI application and server setup
├── agent.py # SWOT analysis agent implementation
├── tests/ # Test suites
│ ├── __init__.py # To make tests a Python package
│ ├── test_agent.py # AI agent test suite
│ └── test_main.py # FastAPI endpoint test suite
├── templates/ # HTML templates
│ ├── index.html # Main application page
│ ├── status.html # Analysis status updates
│ └── result.html # SWOT analysis results
├── requirements.txt # Python dependencies
├── LICENSE # License information
└── README.md # Project documentation
```

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.
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