added analytics script

app.py

@@ -26,6 +26,10 @@ css = """
 .title_ {text-align: center;}
 """
 
+analytics_script = """
+<script defer src="https://umami.dsd.sztaki.hu/script.js" data-website-id="d6b16d5f-2bc5-4a51-b7dc-49ac28c71fa8"></script>
+"""
+
 HF_TOKEN = os.environ["hf_read"]
 
 SENTIMENT_LABEL_NAMES = {
@@ -224,7 +228,7 @@ def predict_wrapper(text, language):
     return results, figure, heatmap, output_info + funding_info
 
 
-with gr.Blocks(css=css) as demo:
+with gr.Blocks(css=css, js=js) as demo:
     placeholder = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua."
     introduction = """
     This application detects and visualises emotions in text. The model behind it operates using a 6-label codebook, including the following labels: `Anger`, `Fear`, `Disgust`, `Sadness`, `Joy`, and `None of Them`.
@@ -233,6 +237,7 @@ with gr.Blocks(css=css) as demo:
     Read our Q&A about Pulse [here](https://cms.mores-horizon.eu/uploads/MORES_Pulse_Q_and_A_33f61ea348.pdf).
     """
 
+    gr.HTML(analytics_script)
     gr.HTML("<h1>MORES Pulse</h1>", elem_classes="title_")
     gr.Markdown(introduction, elem_classes="info")
     with gr.Row():