updated readme

README.md

@@ -1,46 +1,14 @@
 ---
 title: Gender CNN Demo
-emoji: 👁
-colorFrom: pink
-colorTo: yellow
+emoji: 💻
+colorFrom: blue
+colorTo: red
 sdk: docker
+python_version: 3.12.8
 app_port: 3000
 pinned: true
 short_description: Shiny application to demo my gender classification CNN.
+license: apache-2.0
 ---
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-# Gender-Prediction
-
-Scripts to train my neural network, or use my pre-trained parameters to make predictions.
-
-## Setup
-
-1. Set up virtual environment.
-```
-python3 -m venv venv
-```
-2. Activate virtual environment.
-    - On Mac/Linux:
-    ```
-    source venv/bin/activate
-    ```
-    - On Windows:
-    ```
-    # In cmd.exe
-    venv\Scripts\activate.bat
-    # In PowerShell
-    venv\Scripts\Activate.ps1
-    ```
-3. Install requirements.
-```
-pip3 install -r requirements.txt
-```
-
-## Prediction
-
-Run `predict.py`, this will download pre-trained model parameters and make gender predictions on images in the `images` folder.
-
-## Training
-
-Run `train.py`, this will download the training data used to train my pre-trained model and start training the neural network on the your local device.
+# Gender-CNN-Demo