Update app.py

app.py

@@ -25,8 +25,12 @@ Input text with tahe language identifiers provided to create a multilingual spee
 This space runs on ZeroGPU, so **you need to be patient** while you acquire the GPU and load the model the first time you make a request !
 """
 
-# text examples=["<en> Hello, how are you? <fr> Bonjour, comment ça va?", "<de> Guten Tag <it> Buongiorno <jp> こんにちは"]
-# audio examples=["path/to/tonic.wav"]
+
+text_examples = [
+    ["<en> WhisperSpeech is an opensource library that helps you hack whisper."],
+    ["<de> WhisperSpeech is multi-lingual <es> y puede cambiar de idioma <hi> मध्य वाक्य में"],
+    ["<en> The big difference between Europe <fr> et les Etats Unis <pl> jest to, że mamy tak wiele języków <uk> тут, в Європі"]
+]
 
 # Function to parse the multilingual input text
 def parse_multilingual_text(input_text):
@@ -76,14 +80,25 @@ def whisper_speech_demo(multilingual_text, speaker_audio):
 
 with gr.Blocks() as demo:
     gr.Markdown(title)
-    output_audio = gr.Audio(label="Generated Speech")
+    output_audio = gr.Audio(label="🌟Collabora🌬️💬📝WhisperSpeech")
     generate_button = gr.Button("Try 🌟Collabora🌬️💬📝WhisperSpeech")
     with gr.Row():
-        text_input = gr.Textbox(label="Enter multilingual text", placeholder="e.g., <en> Hello <fr> Bonjour <es> Hola")
-        speaker_input = gr.Audio(label="Upload or Record Speaker Audio (optional)", sources=["upload", "microphone"])
-        with gr.Accordion("Available Languages and Their Tags"):
-            language_list = "\n".join([f"{lang}: {LANGUAGES[lang]}" for lang in LANGUAGES])
-            gr.Markdown(language_list)    
+        text_input = gr.Textbox(label="Enter multilingual text💬📝", placeholder="e.g., <en> Hello <fr> Bonjour <es> Hola")
+        speaker_input = gr.Audio(label="Upload or Record Speaker Audio (optional)🌬️💬", sources=["upload", "microphone"])
+    with gr.Row():
+        with gr.Accordion("Available Languages and Their Tags", open=False):
+            formatted_language_list = "\n".join([f"<{lang}> {LANGUAGES[lang]}" for lang in LANGUAGES])
+            gr.Markdown(formatted_language_list)
+    with gr.Row():
+        with gr.Accordion("Try Multilingual Text Examples", open=False):
+            gr.Examples(
+                examples=text_examples,
+                inputs=[text_input],
+                outputs=[output_audio],
+                fn=whisper_speech_demo,
+                cache_examples=True,
+                label="Try these to get started !🌟🌬️"
+            )
     generate_button.click(whisper_speech_demo, inputs=[text_input, speaker_input], outputs=output_audio)
 
 demo.launch()