CLIP All in one app

This repository contains a streamlit application that demonstrates how to use OpenAI's CLIP model for a variety of natural language and computer vision tasks such as zero-shot classification, image clustering, text clustering, and semantic search.

Deployed App: https://clip-all-in-one.streamlit.app/

• Zero-shot image classification
• Zero-shot text classification
• Semantic Search
• Image Clustering
• Text Clustering

Installation

Get the Access Key from the unsplash

• Visit the Unsplash-Developer

• Register your app and get the Access Key

• Create .env file (For eg. see the dotenv file in the repo)

• .env should look like

ACCESS_KEY="<your key>"

Clone this repository

git clone https://github.com/mayuras7685/CLIP-ALL-IN-ONE

Install the required packages

pip install -r requirements.txt

Note - This app was made using python 3.9.18

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Use

Navigate to the cloned directory and launch the Streamlit app with

streamlit run clip_app.py

Use the sidebar navigation menu to choose the task that you would like to explore.