added footer

README.md

@@ -56,7 +56,7 @@ streamlit run app.py
 
 This will open a new tab in your default web browser with the Streamlit interface.
 
-### Step 4: Using the Application
+## Using the Application
 
 #### Webcam Stream
 
@@ -86,7 +86,7 @@ This will open a new tab in your default web browser with the Streamlit interfac
 - In the "Input Stream" section, under "Or Enter Video Download URL", paste a video URL and press Enter.
 - The application will download and analyze the video from the provided URL and display the sentiment results.
 
-### Step 5: Customize the Analysis
+## Customize the Analysis
 
 You can customize the analysis function to perform your own image analysis. The default function \`analyze_frame\` performs facial sentiment analysis. To use your own analysis:
 
@@ -114,6 +114,32 @@ If you encounter any issues:
 
 For more detailed information, refer to the comments in the \`app.py\` file.
 
+
+### Debugging using Vscode
+
+If you are using Vscode as your IDE you can use the following launch.json file to debug the current file (e.g. app.py) in your editor.
+
+```json
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python:Streamlit",
+            "type": "debugpy",
+            "request": "launch",
+            "module": "streamlit",
+            "args": [
+                "run",
+                "${file}",
+                "--server.port",
+                "2000"
+            ]
+        }
+    ]
+}
+```
+
+
 # How to Create a New Huggingface Space and Push Code to It
 
 ## Step 1: Create a New Huggingface Space

app.py

@@ -259,10 +259,21 @@ with col1:
     st.subheader("Or Enter Video Download URL")
     video_url = st.text_input("Video URL")
 
+# Streamlit footer
+st.markdown(
+    """
+    <div style="text-align: center; margin-top: 2rem;">
+        <p>If you want to set up your own computer vision playground see <a href="https://huggingface.co/spaces/eusholli/computer-vision-playground/blob/main/README.md" target="_blank">here</a>.</p>
+    </div>
+    """,
+    unsafe_allow_html=True
+)
 
 # Function to initialize the analysis UI
 # This function sets up the placeholders and UI elements in the analysis section.
 # It creates placeholders for input and output frames, analysis time, and detected labels.
+
+
 def analysis_init():
     global analysis_time, show_labels, labels_placeholder, input_placeholder, output_placeholder