Upload README.md with huggingface_hub

README.md

@@ -9,16 +9,23 @@ app_file: app.py
 pinned: false
 ---
 
-# Shopping Assistant Demo
+# Enhanced Shopping Assistant Demo
 
-This is a demo of the [Shopping Assistant model](selvaonline/shopping-assistant) that classifies shopping queries into categories and finds relevant deals from DealsFinders.com.
+This is an enhanced demo of the Shopping Assistant that uses advanced AI models to classify shopping queries and find relevant deals from DealsFinders.com.
+
+## Advanced Models
+
+This demo uses two powerful AI models:
+
+1. **facebook/bart-large-mnli** - A zero-shot classification model that accurately categorizes shopping queries
+2. **sentence-transformers/all-mpnet-base-v2** - A semantic search model that finds the most relevant deals
 
 ## How to use
 
-1. Enter a shopping query in the text box
+1. Enter a shopping query in the text box (e.g., "I'm looking for headphones")
 2. Click "Submit" to get the results
-3. The model will classify the query into one or more categories and provide a recommendation
-4. The demo will also show relevant deals from DealsFinders.com
+3. The model will classify the query into appropriate categories
+4. The demo will show relevant deals from DealsFinders.com based on semantic search
 
 ## Examples
 
@@ -28,16 +35,4 @@ This is a demo of the [Shopping Assistant model](selvaonline/shopping-assistant)
 - "I need a new smart TV"
 - "headphone deals"
 
-## Model details
-
-The Shopping Assistant model is trained to classify shopping deals into categories. It can be used to provide better recommendations to users based on their queries.
-
-The model is based on DistilBERT and is fine-tuned on a dataset of shopping deals. It is trained to classify deals into the following categories:
-- electronics
-- clothing
-- home
-- kitchen
-- toys
-- other
-
 For more information, visit the [model page](selvaonline/shopping-assistant).