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README.md

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+---
+title: New Space
+emoji: 🐢
+colorFrom: yellow
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.0.2
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# This is a Gradio app for similarity image search.
+# The app takes a text input and returns the top_k images based on similarity.
+
+import gradio as gr
+import numpy as np
+import pandas as pd
+
+# Dummy function to simulate image search based on text input
+def similarity_image_search(text, top_k):
+    # Simulate a database of images with their similarity scores
+    images = [
+        ("image1.jpg", 0.95),
+        ("image2.jpg", 0.85),
+        ("image3.jpg", 0.75),
+        ("image4.jpg", 0.65),
+        ("image5.jpg", 0.55),
+        ("image6.jpg", 0.45),
+        ("image7.jpg", 0.35),
+        ("image8.jpg", 0.25),
+        ("image9.jpg", 0.15),
+        ("image10.jpg", 0.05),
+    ]
+    
+    # Sort images by similarity score in descending order
+    images.sort(key=lambda x: x[1], reverse=True)
+    
+    # Return the top_k images
+    return [img[0] for img in images[:top_k]]
+
+# Create a Gradio interface
+with gr.Blocks() as demo:
+    # Text input for the search query
+    text_input = gr.Textbox(label="Search Query")
+    
+    # Slider to select the number of top images to display
+    top_k_slider = gr.Slider(1, 10, value=5, label="Number of Top Images")
+    
+    # Gallery to display the top_k images
+    image_gallery = gr.Gallery(label="Top Images", columns=3)
+    
+    # Define the event listener for the text input
+    text_input.submit(similarity_image_search, inputs=[text_input, top_k_slider], outputs=image_gallery)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch(show_error=True)