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| title: Shopping Assistant Demo | |
| emoji: 🛍️ | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 3.50.0 | |
| app_file: app.py | |
| pinned: false | |
| # 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. | |
| ## How to use | |
| 1. Enter a shopping query in the text box | |
| 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 | |
| ## Examples | |
| - "I'm looking for headphones" | |
| - "Do you have any kitchen appliance deals?" | |
| - "Show me the best laptop deals" | |
| - "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). | |