--- 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`.

Now, install all libraries by running the following command in the terminal:
```python pip install -r requirements.txt ```

Now, run the app from the terminal:
```python gradio app.py ``` Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference