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--- |
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title: Indexing |
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emoji: 🌍 |
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colorFrom: indigo |
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colorTo: green |
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sdk: streamlit |
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sdk_version: 1.42.2 |
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app_file: app.py |
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pinned: false |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# 📌 Image & Text Embedding Search using CLIP and Pinecone |
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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. |
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## 🚀 Features |
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- **Text-to-Image Search**: Enter a text query to find similar images from the dataset. |
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- **Image-to-Image Search**: Upload an image to find visually similar images. |
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- **CLIP Model for Embeddings**: Uses `openai/clip-vit-base-patch32` to generate embeddings for text and images. |
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- **Pinecone Vector Search**: Stores and retrieves image embeddings efficiently. |
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- **Interactive UI**: Built with Streamlit for easy access and visualization. |
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## 🛠️ Installation |
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### 1️⃣ Clone the Repository |
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```sh |
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git clone https://github.com/your-username/image-text-search.git |
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cd image-text-search |
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flowchart TD |
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A[User Input] -->|Text Query| B[Embed Text with CLIP] |
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A -->|Upload Image| C[Embed Image with CLIP] |
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B --> D[Query Pinecone Index] |
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C --> D |
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D --> E[Retrieve Top-k Similar Images] |
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E --> F[Display Results in Streamlit UI] |
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