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README.md

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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  
+
+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]