Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load Hugging Face model (zero-shot query parsing)
+query_parser = pipeline("text2text-generation", model="EmbeddingStudio/query-parser-saiga-mistral-7b-lora")
+
+def parse_query(user_query):
+    """
+    Parse user e-commerce search query and return structured attributes.
+    """
+    output = query_parser(user_query, max_length=50, do_sample=False)
+    structured_response = output[0]['generated_text']
+
+    return structured_response
+
+# Define UI with Gradio
+with gr.Blocks() as demo:
+    gr.Markdown("# 🛍️ Luxury Fashion Query Parser")
+    
+    query_input = gr.Textbox(label="Enter your search query", placeholder="e.g., Gucci men’s perfume under 200AED")
+    
+    output_box = gr.Textbox(label="Structured Output", placeholder="Brand: Gucci, Gender: Men, Category: Perfume, Price: 0-200 AED")
+    
+    parse_button = gr.Button("Parse Query")
+    
+    parse_button.click(parse_query, inputs=[query_input], outputs=[output_box])
+
+# Launch the app
+demo.launch()