README.md

metadata

title: Bert Based Question Answering App
emoji: 📚
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 4.22.0
app_file: app.py
pinned: false

Bert Based Question Answering

This is a question answering application based on the BERT model. Users can input a context and a question, and the model will generate an answer based on the context.

Usage

1. Install dependencies:

   pip install torch transformers gradio
   

2. Run the application:

   python app.py
   

3. Once the application is running, open the provided URL in your web browser. You can then enter the context and question to get the model's response.

Example Interactions

The application comes preloaded with some example interactions. Here are a few examples:

• Context: "The capital of France is Paris."

  • Question: "What is the capital of France?"
  • Expected Response: "Paris"

• Context: "Water boils at 100 degrees Celsius or 212 degrees Fahrenheit."

  • Question: "At what temperature does water boil?"
  • Expected Response: "100 degrees Celsius"

• Context: "The Mona Lisa was painted by Leonardo da Vinci."

  • Question: "Who painted the Mona Lisa?"
  • Expected Response: "Leonardo da Vinci"

Interface Customization

The interface is customizable and includes styling for a better user experience. You can further customize it by modifying the code in app.py.

Author

Developed by [Ajeetkumar Ukande].

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference