Gemini Pro API in Python: Learn to Access using Google API Key

preview_player
Показать описание
🚀 In this comprehensive tutorial, we delve into the exciting world of the Gemini API and how to use it with API keys generated from Google AI Studio. Whether you're a beginner or an advanced user, this video is tailored to provide you with a clear understanding of the interaction between generative AI packages and the Gemini API. We compare Google AI Studio and Vertex AI, exploring their differences in API keys and service accounts.

👩‍💻 Starting with an introduction to the Gemini API and its access methods, we guide you through creating service accounts in Google Cloud Console, and utilizing Python packages for effective API interaction. Our step-by-step process includes detailed instructions on setting up your environment, generating API keys, and writing Python code to interact with the API.

🔍 Timestamps:
0:00 - Introduction to Gemini API and Google AI Studio
0:33 - Service Accounts and Google Cloud Console Overview
1:19 - Using Vertex AI Python Package
1:29 - Generating API Keys in Google AI Studio
1:53 - Step-by-Step Coding Tutorial
3:00 - Comparing Google AI Studio and Vertex AI
3:47 - Advanced Application: Gemini Vision API

💡 Stay tuned till the end for a practical demonstration of integrating Gemini API into a Python application, including a unique example using the Gemini Vision API.

👍 If you find this tutorial helpful, please like, share, and subscribe for more AI-related content. Your support helps us create more informative and useful videos!

#GeminiAPI #Python #APIKEY #GoogleGemini #GoogleGeminiAI #Gemini #AI #GoogleBard #GoogleAI #GeminiAI #IntroducingGoogleGemini #WhatIsGoogleGemini #GoogleGeminiDemo #GoogleGeminiHandsOn #GoogleGeminiHowToUse #GoogleGeminiAIDemo #HowToUseGoogleGeminiAI #HowToUseGoogleGemini #API #GeminiAPI #HowToUseGeminiAPI #HowToAccessGeminiAPI #GeminiAIPro #GeminiAIApiTutorial #Tutorial #GeminiProAPI #GeminiProVision #GeminiVisionAPI #GeminiAPIKey #APIKey #Ultra
Рекомендации по теме
Комментарии
Автор

You have a real talent for teaching! clear and very helpful. thank you.

_arman_
Автор

Bro, you are killin it. how are you keeping up with everything? You live and Breath AI tech.

SamiSabirIdrissi
Автор

Excellent. Can you add a video about gpt-researcher using gemini pro

gregorykarsten
Автор

Hi, function calling can use this method? Regards

jesusleguizamon
Автор

Dope. How to do chat? Just pass a list?

autonate_ai
Автор

I keep on getting exception "504 Deadline Exceeded", any idea?

chc
Автор

Can I know the IDE which you are using. It is suggesting all the code snippets along with the comments !?

ramisettysathwik
Автор

I am confused about the actual real world implementation of this. How does this apply when creating a service that utilizes AI? For example: When a user signs up for my app/service, can my app call gemini's API and generate an API key specifically for that user and any other users of my service? Am I supposed to use my single API for all users of my service? Or does the user have to manually enter their own API key(Not very user friendly)?

RondellKB
Автор

can you help with this one, 403 Request had insufficient authentication scopes. [reason:

hardikjoshi