Added title and description to Gradio app

app.py

@@ -51,7 +51,31 @@ def process_audio(audio, state=collections.defaultdict(partial(collections.deque
     return plot, state
 
 # Create Gradio interface and launch
+
+desc = """
+This is a demo of the pre-trained models included in the latest release
+of the [openWakeWord](https://github.com/dscripka/openWakeWord) library.
+
+Click on the "record from microphone" button below to start capturing.
+The real-time scores from each model will be shown in the line plot. Hover over
+each line to see the name of the corresponding model.
+
+Different models will respond to different wake words/phrases (see [the model docs](https://github.com/dscripka/openWakeWord/tree/main/docs/models) for more details).
+If everything is working properly,
+you should see a spike in the score for a given model after speaking a related word/phrase. Below are some suggested phrases to try!
+
+| Model Name | Word/Phrase |
+| --- | --- |
+| alexa | "alexa" |
+| hey_mycroft | "hey mycroft"|
+| weather | "what's the weather", "tell me today's weather" |
+| x_minute_timer | "set a timer for 1 minute", "create 1 hour alarm" |
+
+"""
+
 gr_int = gr.Interface(
+    title = "openWakeWord Live Demo",
+    description = desc,
     css = ".flex {flex-direction: column} .gr-panel {width: 100%}",
     fn=process_audio,
     inputs=[