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---
title: Demo App
emoji: 📚
colorFrom: green
colorTo: pink
sdk: streamlit
sdk_version: 1.25.0
app_file: app.py
pinned: false
license: other
---
# Product Description Generator
Generate SEO-compliant product descriptions using product titles and meta-keywords provided by the user.
Implemented custom LLMChain function from the Langchain and few-shot prompting technique to generate multi-paragraph rich text product description for each product name and its corresponding keywords. Built a gradio app as a frontend demo to showcase the process.
## Steps:-
- Provide the product name and keywords separated by commas
- Using the custom prompt template and ChatOpenAI model, call the custom LLM chain to generate a product description
## How to run it locally:-
To run this app locally, first clone this repo using `git clone`.<br><br>
Now, install all libraries by running the following command in the terminal:<br>
```python
pip install -r requirements.txt
```
<br><br>
Now, run the app from the terminal:<br>
```python
gradio app.py
```
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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