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---
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
```sh
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]
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