add example usage

app.py

@@ -478,21 +478,40 @@ default_instruct=(
     "less than 15 words."
 )
 import pandas as pd
-examples = pd.DataFrame([
-    ["General Purpose Conversation", default_instruct],
-    ["Translation", "You are a translator. Translate user text into English."],
-    ["General Purpose Conversation with Disfluencies", "Please reply to user with lot of filler words like ummm, so"],
-    ["Summarization", "You are summarizer. Summarize user's utterance."]
-], columns=["Task", "LLM Prompt"])
+
+# Usage examples: (label, prompt, TTS_display_name)
+# Use TTS_reverse_map[TTS_name] for default TTS; or a specific TTS_display_names entry
+example_translate_ja_prompt = "You are a translator. Translate what user says into Japanese."
+example_summarize_prompt = "Your task is to summarize what user says in one short sentence no more than 10 words."
+example_story_prompt = (
+    "You are an Imaginative Story Writer.\n\n"
+    "Given user input, craft compelling fiction with:\n"
+    "- strong scene setting\n"
+    "- character voice\n"
+    "- emotional arc\n"
+    "- satisfying narrative progression\n\n"
+    "Guidelines:\n"
+    "- Respect user-provided anchors (characters, world, plot constraints).\n"
+    "- Expand creatively between anchors with sensory detail and subtext.\n"
+    "- Use \"show, don't tell\" where possible.\n"
+    "- Maintain internal logic and continuity.\n"
+    "- End scenes with momentum unless user requests a full ending.\n"
+    "- Output only story content."
+)
+
+examples = [
+    ["Translation to Japanese", example_translate_ja_prompt, TTS_display_names[1]],
+    ["Summarization (≤10 words)", example_summarize_prompt, TTS_reverse_map[TTS_name]],
+    ["Imaginative Story Writer", example_story_prompt, TTS_reverse_map[TTS_name]],
+]
 with gr.Blocks(
     title="ESPnet-SDS Offline Audio Processing",
 ) as demo:
     with gr.Row():
         gr.Markdown(
             """
-            ## ESPnet-SDS (Offline Mode)
-            Welcome to our offline audio processing interface for various cascaded and
-            E2E spoken dialogue systems built using ESPnet-SDS toolkit.
+            ## ESPnet Prompt Editing Demo
+            Welcome to our prompt editing demo using ESPnet-SDS toolkit.
             
             **How to use:**
             1. Upload or record an audio file
@@ -554,6 +573,11 @@ with gr.Blocks(
                     value="mini-omni",
                     visible=False,
                 )
+            gr.Examples(
+                examples=[[row[1], row[2]] for row in examples],
+                inputs=[input_text, radio],
+                label="Usage examples",
+            )
         with gr.Column(scale=1):
             output_asr_text = gr.Textbox(label="ASR Transcription", interactive=False)
             output_text = gr.Textbox(label="LLM Response", interactive=False)