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--- |
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title: Bert Based Question Answering App |
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emoji: 📚 |
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colorFrom: purple |
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colorTo: green |
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sdk: gradio |
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sdk_version: 4.22.0 |
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app_file: app.py |
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pinned: false |
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--- |
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# Bert Based Question Answering |
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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. |
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## Usage |
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1. Install dependencies: |
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```bash |
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pip install torch transformers gradio |
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``` |
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2. Run the application: |
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```bash |
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python app.py |
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``` |
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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. |
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## Example Interactions |
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The application comes preloaded with some example interactions. Here are a few examples: |
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- **Context**: "The capital of France is Paris." |
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- **Question**: "What is the capital of France?" |
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- **Expected Response**: "Paris" |
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- **Context**: "Water boils at 100 degrees Celsius or 212 degrees Fahrenheit." |
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- **Question**: "At what temperature does water boil?" |
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- **Expected Response**: "100 degrees Celsius" |
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- **Context**: "The Mona Lisa was painted by Leonardo da Vinci." |
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- **Question**: "Who painted the Mona Lisa?" |
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- **Expected Response**: "Leonardo da Vinci" |
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## Interface Customization |
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The interface is customizable and includes styling for a better user experience. You can further customize it by modifying the code in `app.py`. |
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## Author |
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Developed by [Ajeetkumar Ukande]. |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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