Update README.md

README.md

@@ -8,5 +8,49 @@ 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:
+
+    ```bash
+    pip install torch transformers gradio
+    ```
+
+2. Run the application:
+
+    ```bash
+    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