app.py

import gradio as gr
from sentence_transformers import SentenceTransformer
import weaviate
from weaviate.classes.query import MetadataQuery
from weaviate.classes.init import Auth
from dotenv import load_dotenv
import os

# Load environment variables
load_dotenv()

# Initialize the model
model = SentenceTransformer('all-MiniLM-L6-v2')

# Move client initialization into search function
def get_client():
    return weaviate.connect_to_weaviate_cloud(
        cluster_url=os.getenv("WEAVIATE_URL"),
        auth_credentials=Auth.api_key(os.getenv("WEAVIATE_API_KEY"))
    )

def search_images(query):
    # Create client connection
    client = get_client()
    lux_collection = client.collections.get("LuxData")
    
    # Encode the query and search
    query_vector = model.encode(query)
    results = lux_collection.query.near_vector(
        near_vector=query_vector.tolist(),
        limit=20,
        return_metadata=MetadataQuery(distance=True)
    )
    
    # Format results for display
    formatted_results = []
    for result in results.objects:
        formatted_results.append({
            "distance": round(result.metadata.distance, 2),
            "label": result.properties['label'],
            "lux_url": result.properties['lux_url'],
            "image_url": result.properties.get('image_url', "No image available")
        })
    
    # Close the client connection
    client.close()
    
    return formatted_results

# Create Gradio interface
def create_interface():
    with gr.Blocks() as demo:
        gr.Markdown("# Lux Semantic Search")
        
        with gr.Row():
            query_input = gr.Textbox(label="Enter your search query")
            search_button = gr.Button("Search")
        
        results_table = gr.HTML(label="Search Results")
        
        def on_search(query):
            results = search_images(query)
            # Create HTML table with images
            html = """
            <table style="width:100%; border-collapse: collapse;">
                <tr>
                    <th style="border: 1px solid #ddd; padding: 8px;">Distance</th>
                    <th style="border: 1px solid #ddd; padding: 8px;">Label</th>
                    <th style="border: 1px solid #ddd; padding: 8px;">Lux URL</th>
                    <th style="border: 1px solid #ddd; padding: 8px;">Image</th>
                </tr>
            """
            
            for r in results:
                image_cell = f'<img src="{r["image_url"]}" style="max-width:200px; max-height:200px;">' if r["image_url"] and r["image_url"] != "No image available" else "No image available"
                html += f"""
                <tr>
                    <td style="border: 1px solid #ddd; padding: 8px;">{r["distance"]}</td>
                    <td style="border: 1px solid #ddd; padding: 8px;">{r["label"]}</td>
                    <td style="border: 1px solid #ddd; padding: 8px;"><a href="{r["lux_url"]}" target="_blank">{r["lux_url"]}</a></td>
                    <td style="border: 1px solid #ddd; padding: 8px;">{image_cell}</td>
                </tr>
                """
            
            html += "</table>"
            return html
        
        search_button.click(
            fn=on_search,
            inputs=query_input,
            outputs=results_table
        )
    
    return demo

if __name__ == "__main__":
    demo = create_interface()
    demo.launch()