Update readme

README.md

@@ -1,12 +1,67 @@
 ---
 title: Credit Card Approval Prediction
-emoji: 👁
-colorFrom: pink
-colorTo: purple
+emoji: 💳 ✅
+colorFrom: green
+colorTo: green
 sdk: gradio
 sdk_version: 3.40.0
 app_file: app.py
 pinned: false
+tags:
+  - FHE
+  - PPML
+  - privacy
+  - privacy preserving machine learning
+  - credit card approval
+  - credit score
+  - homomorphic encryption
+  - security
+python_version: 3.10.11
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Credit card approval using FHE
+
+## Run the application locally
+
+### Install the dependencies
+
+First, create a virtual env and activate it:
+
+```bash
+python3 -m venv .venv
+source .venv/bin/activate
+```
+
+Then, install the required packages:
+
+```bash
+pip3 install pip --upgrade
+pip3 install -U pip wheel setuptools --ignore-installed
+pip3 install -r requirements.txt --ignore-installed
+```
+
+The above steps should only be done once.
+
+## Run the app 
+
+In a terminal, run:
+
+```bash
+source .venv/bin/activate
+python3 app.py
+```
+
+## Interact with the application
+
+Open the given URL link (search for a line like `Running on local URL:  http://127.0.0.1:8888/`).
+
+
+## Development
+
+If the model, data-set or pre/post-processing is modified locally, it is possible to initialize, 
+fit and compile the model all at once using the following command. It will also save the deployment 
+files at the right places in order to make sure the app works properly :
+
+```bash
+python3 development.py
+```