Tutorial: Bild Chat App with Your Images using Gemini Pro Vision Model

Ever wish you could have a conversation with a photograph? Now you practically can! Learn how to use Google's powerful Gemini Pro Vision AI to ask your images questions, get creative insights, and have fun. In this tutorial, you'll learn how to make your images reveal surprising insights, answer your questions, and inspire creative ideas. Hit that like button and subscribe for more mind-blowing AI adventures! ⚙️ Projects Files used in this tutorial: 1. Streamlit application: 🔗 https://github.com/atef-ataya/GeminiVisionProChatWithAnImage 2. Jupyter Notebook file: 🔗 ⚙️ Related YouTube Tutorials: 1. Unleash Google Gemini: A Comprehensive LangChain Tutorial 🔗 https://youtu.be/LKaHYkLTyTM?si=fnH6_MpIFllEkPYV 2. Building a Question Answering / Chat Application Using OpenAI, Pinecone, & LangChain: 🔗 https://youtu.be/CLOsuciiPL4?si=zxIzXzawoUSLOwYu ⚙️ Github Project for you to follow along in this tutorial: 1. Chat With Wikipedia (Streamlit Project) 🔗 https://github.com/atef-ataya/ChatAppWithWikipedia 2. Build your own Wikipedia Chatbot with Streamlit & LangChain: 🔗https://youtu.be/2j8Ns1UCatI?si=KkZ4xamHj2q1vxq7 3. LangChain Tutorials: 🔗 https://github.com/atef-ataya/LangChain-Tutorial ⚙️ Medium Articles: 1. LangChain Tutorials: 🔗 https://medium.com/ai-advances/langchain-and-googles-gemini-pro-and-pro-vision-models-a4e6e8565000 TIMESTAMPS: 00:06 Intro 01:20 Jupyter Notebook Prototype 08:05 Building the application using Streamlit ⚡️ Social Media: 🔗 Twitter: / atayaatef 🔗 Github: https://github.com/atef-ataya 🔗 Medium: / atef.ataya ⚙️ Links: 🔗 LangChain documentation: https://python.langchain.com/docs/get_started/introduction 🔗 Google API: https://aistudio.google.com/app/apikey #AI #ArtificialIntelligence #ImageAnalysis #ComputerVision #MachineLearning #GoogleAI #Tech #Innovation #GeminiProVision #GoogleGemini #Tutorial #HowTo #LearnAI #imageChat #Streamlit #ConversationalAI #GenerativeAI #LLM #LargeLanguageModel #NLP