Update README.md

README.md

@@ -1,75 +1,75 @@
----
-title: Leprosy Detection
-emoji: ⚡
-colorFrom: red
-colorTo: gray
-sdk: gradio
-sdk_version: 3.44.4
-app_file: app.py
-pinned: false
-license: cc-by-4.0
----
-
-# Leprosy Detection App
-
-Leprosy Gradio Detection web application. In this application, I have used a fine tuned YOLOv5s model to detect Leprosy samples based on images. The application uses gradio as the platform and can also be used in the [Huggingface online hosting application](https://huggingface.co/spaces/Arekku21/Leprosy-Detection). 
-
-## Overview
-[Leprosy](https://en.wikipedia.org/wiki/Leprosy), also known as Hansen's disease, is a chronic infectious disease that primarily affects the skin and peripheral nerves. The model used is a YOLO model from [Ultralytics](https://github.com/ultralytics/yolov5) with their version YOLOv5. 
-
-### Features
-
-- Upload an image to the app.
-- Utilizes a fine-tuned YOLOv5s model for leprosy detection.
-- Detect and label leprosy regions in the uploaded image.
-
-## Prerequisites
-
-Before running the application, make sure you have the following prerequisites installed on your system:
-
-- Python 3.x 
-- Git
-- Gradio
-- Pip package manager
-- Conda Virtual environment (optional but recommended)
-
-### Installation Steps and Running the app
-
-To install the required Python libraries, navigate to the project directory and run the following command:
-
-#### Step 1 Clone the repository
-```
-# Make sure you have git-lfs installed (https://git-lfs.com)
-git lfs install
-git clone https://huggingface.co/spaces/Arekku21/Leprosy-Detection
-
-# if you want to clone without large files – just their pointers
-# prepend your git clone with the following env var:
-GIT_LFS_SKIP_SMUDGE=1
-```
-
-#### Step 2 Install requirements
-```
-#navigate to your cloned repository and location of requirmenents.txt
-pip install -r requirements.txt
-```
-
-#### Step 3 Run the app
-```
-#ensure that you are using the right environment or have all the requirements installed
-#ensure that you are navigated to the cloned repository
-python app.py
-```
-
-#### Step 4 Using the app
-Your terminal should look like this and follow the local host URL link to use the application. 
-```
-Downloading: "https://github.com/ultralytics/yolov5/zipball/master" to C:\Users\master.zip
-
-YOLOv5  2023-9-28 Python-3.9.18 torch-2.0.1+cpu CPU
-
-Fusing layers... 
-Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
-Adding AutoShape...
-Running on local URL:  http://127.0.0.1:7860
+---
+title: Leprosy Detection
+emoji: ⚡
+colorFrom: red
+colorTo: gray
+sdk: gradio
+sdk_version: 5.23.0
+app_file: app.py
+pinned: false
+license: cc-by-4.0
+---
+
+# Leprosy Detection App
+
+Leprosy Gradio Detection web application. In this application, I have used a fine tuned YOLOv5s model to detect Leprosy samples based on images. The application uses gradio as the platform and can also be used in the [Huggingface online hosting application](https://huggingface.co/spaces/Arekku21/Leprosy-Detection). 
+
+## Overview
+[Leprosy](https://en.wikipedia.org/wiki/Leprosy), also known as Hansen's disease, is a chronic infectious disease that primarily affects the skin and peripheral nerves. The model used is a YOLO model from [Ultralytics](https://github.com/ultralytics/yolov5) with their version YOLOv5. 
+
+### Features
+
+- Upload an image to the app.
+- Utilizes a fine-tuned YOLOv5s model for leprosy detection.
+- Detect and label leprosy regions in the uploaded image.
+
+## Prerequisites
+
+Before running the application, make sure you have the following prerequisites installed on your system:
+
+- Python 3.x 
+- Git
+- Gradio
+- Pip package manager
+- Conda Virtual environment (optional but recommended)
+
+### Installation Steps and Running the app
+
+To install the required Python libraries, navigate to the project directory and run the following command:
+
+#### Step 1 Clone the repository
+```
+# Make sure you have git-lfs installed (https://git-lfs.com)
+git lfs install
+git clone https://huggingface.co/spaces/Arekku21/Leprosy-Detection
+
+# if you want to clone without large files – just their pointers
+# prepend your git clone with the following env var:
+GIT_LFS_SKIP_SMUDGE=1
+```
+
+#### Step 2 Install requirements
+```
+#navigate to your cloned repository and location of requirmenents.txt
+pip install -r requirements.txt
+```
+
+#### Step 3 Run the app
+```
+#ensure that you are using the right environment or have all the requirements installed
+#ensure that you are navigated to the cloned repository
+python app.py
+```
+
+#### Step 4 Using the app
+Your terminal should look like this and follow the local host URL link to use the application. 
+```
+Downloading: "https://github.com/ultralytics/yolov5/zipball/master" to C:\Users\master.zip
+
+YOLOv5  2023-9-28 Python-3.9.18 torch-2.0.1+cpu CPU
+
+Fusing layers... 
+Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs
+Adding AutoShape...
+Running on local URL:  http://127.0.0.1:7860
 ```