D: 🚀 Want to explore Google’s powerful Gemini AI through the command line? This step-by-step guide will walk you through the simplest way to install and use the Gemini CLI—even if you’re a beginner!
🔧 Step 1: Install Python (Required for Gemini CLI)
Gemini CLI runs on Python, so you’ll need Python 3.9 or later installed.
Check if Python is already installed:
python --version
# or
python3 --version
If not installed, download it from Python’s official website.
Verify pip (Python package manager):
pip --version
If missing, install it with:
python -m ensurepip --upgrade
💻 Step 2: Install Gemini CLI
Use pip to install the official google-generativeai
package:
pip install google-generativeai
(If you encounter permission issues, try pip install --user google-generativeai
)
✅ Verification:
python -c "import google.generativeai as genai; print('Gemini CLI is ready!')"
🔑 Step 3: Get Your Google API Key
Gemini requires an API key from Google AI Studio.
- Go to Google AI Studio
- Sign in with your Google account.
- Click “Get API Key” → “Create API Key”
- Copy the generated key (keep it secure 🔒).
⚙️ Step 4: Set Up Gemini CLI
Now, configure Gemini with your API key.
Option 1: Set as Environment Variable (Recommended)
export GOOGLE_API_KEY="your-api-key-here"
(Add this to your ~/.bashrc
or ~/.zshrc
for persistence.)
Option 2: Use Directly in Python
import google.generativeai as genai
genai.configure(api_key="your-api-key-here")
🎯 Step 5: Run Your First Gemini CLI Command!
Let’s test it with a simple prompt:
Basic Text Generation
import google.generativeai as genai
model = genai.GenerativeModel('gemini-pro')
response = model.generate_content("Explain quantum computing in simple terms.")
print(response.text)
Example Output:
> “Quantum computing uses qubits (not just 0 or 1, but both at once!) to solve complex problems much faster than regular computers. Think of it like flipping a coin—it’s both heads and tails until you look!”
🚀 Bonus: Useful Gemini CLI Commands
Here are some handy ways to use Gemini CLI:
Chat Mode (Multi-turn Conversation)
chat = model.start_chat()
response = chat.send_message("Hi! What’s the weather today?")
print(response.text)
Generate Code
response = model.generate_content("Write a Python function to reverse a string.")
print(response.text)
Ask Follow-up Questions
response = chat.send_message("Can you make it faster?")
print(response.text)
🔥 Troubleshooting Common Issues
❌ “API Key Not Found” → Double-check GOOGLE_API_KEY
or re-configure.
❌ “ModuleNotFoundError” → Reinstall with pip install --upgrade google-generativeai
.
❌ Rate Limits → Free tier has limits; upgrade if needed.
🌟 Final Thoughts
Now you’re ready to supercharge your workflow with Gemini AI right from your terminal! 🎉
🔗 Next Steps:
- Try Gemini Advanced for more features.
- Explore Gemini API docs for advanced usage.
💬 Got stuck? Drop a comment below! Let’s build something amazing with Gemini. 🚀