Update app.py

app.py

@@ -507,6 +507,19 @@ def transcribe(
 api = HfApi()
 nltk.download("averaged_perceptron_tagger_eng")
 start_warmup()
+default_instruct=(
+    "You are a helpful and friendly AI "
+    "assistant. "
+    "You are polite, respectful, and aim to "
+    "provide concise and complete responses of "
+    "less than 15 words."
+)
+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"])
 with gr.Blocks(
     title="E2E Spoken Dialog System",
 ) as demo:
@@ -523,13 +536,6 @@ with gr.Blocks(
             (https://github.com/siddhu001/espnet/tree/sds_demo_recipe/egs2/TEMPLATE/sds1#how-to-use).
         """
         )
-    default_instruct=(
-        "You are a helpful and friendly AI "
-        "assistant. "
-        "You are polite, respectful, and aim to "
-        "provide concise and complete responses of "
-        "less than 15 words."
-    )
     with gr.Row():
         with gr.Column(scale=1):
             user_audio = gr.Audio(