README.md

metadata

title: Indexing
emoji: 🌍
colorFrom: indigo
colorTo: green
sdk: streamlit
sdk_version: 1.42.2
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

📌 Image & Text Embedding Search using CLIP and Pinecone

This project is a Streamlit-based web application that enables image and text-based searches using OpenAI's CLIP model and Pinecone for vector storage and retrieval.

🚀 Features

• Text-to-Image Search: Enter a text query to find similar images from the dataset.
• Image-to-Image Search: Upload an image to find visually similar images.
• CLIP Model for Embeddings: Uses openai/clip-vit-base-patch32 to generate embeddings for text and images.
• Pinecone Vector Search: Stores and retrieves image embeddings efficiently.
• Interactive UI: Built with Streamlit for easy access and visualization.

🛠️ Installation

1️⃣ Clone the Repository

git clone https://github.com/your-username/image-text-search.git
cd image-text-search


flowchart TD
    A[User Input] -->|Text Query| B[Embed Text with CLIP]
    A -->|Upload Image| C[Embed Image with CLIP]
    B --> D[Query Pinecone Index]
    C --> D
    D --> E[Retrieve Top-k Similar Images]
    E --> F[Display Results in Streamlit UI]