Gemini 2.5 Pro Hands-On: AI Studio Demo & Python API Tutorial (Handling Rate Limits)

Dive into Google's powerful new Gemini 2.5 Pro Experimental model! In this hands-on tutorial, we explore its capabilities directly in Google AI Studio and learn how to interact with it programmatically using the Python API in Google Colab.

Join me as I:
► Introduce Gemini 2.5 Pro and check its current performance rankings.
► Demonstrate its multimodal features in Google AI Studio by analyzing a YouTube video.
► Walk through setting up and using the `genai.Client` in Python (Google Colab).
► Explain the Gemini 2.5 Pro API details, capabilities, and limitations.
► **Crucially, show how to implement code that respects the FREE TIER rate limits (2 Requests Per Minute / 50 Requests Per Day) with appropriate delays.**
► Run a practical Colab example: Reading prompts from a CSV and using Gemini 2.5 Pro to rewrite them.

Whether you're a developer, AI enthusiast, or just curious about the latest LLMs, this video provides a practical look at using Gemini 2.5 Pro and navigating its current free tier access limitations.

**Timestamps:**
00:00 - Introduction: Gemini 2.5 Pro
00:26 - Gemini 2.5 Pro Performance Ranking
00:46 - Model Details in AI Studio (Pricing, Use Cases, Cutoff)
01:36 - Multimodal Demo: Analyzing a YouTube Video in AI Studio
02:30 - Gemini 2.5 Pro API Documentation Overview (Model Name, Tokens, Capabilities)
03:19 - Understanding API Rate Limits (Free Tier Focus)
03:35 - Google Colab Goal: Python API for Prompt Rewriting

**Relevant Links:**
🔗 Gemini API Documentation: [
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Let me know your thoughts or questions about Gemini 2.5 Pro in the comments below! If you're learning about LLMs, consider subscribing!

#gemini #googleai #llm #python #googleaistudio #googlecolab #ai #generativeai #LLMImplementation

[LLMImplementation]

The FREE TIER rate limits is now (5 Requests Per Minute / 25 Requests Per Day)