update

talk_arena/audio_collection.py

@@ -18,7 +18,7 @@ os.makedirs("outputs", exist_ok=True)
 # Initialize Hugging Face API client
 hf_api = HfApi(token=os.getenv("HF_TOKEN"))
 DATASET_REPO = "alisartazkhan/audioLLM_judge"
-CATEGORY = "pilot_tempo_control4"
+CATEGORY = "pilot_tempo_control5"
 MAX_RECORDINGS = 5  # Number of prompts to record
 COMPLETION_CODE = "CEO4RWQ6"
 resampler = Audio(sampling_rate=16_000)
@@ -103,7 +103,7 @@ def on_submit(audio_input, prompt_index):
     if audio_input is None:
         return (
             gr.Markdown(f"# Recording {prompt_index + 1}/{MAX_RECORDINGS}"),
-            gr.Markdown(f"## Please read out the following sentence:"),
+            gr.Markdown(f"## Please record yourself reading the following sentence:"),
             gr.Markdown(f"### \"{PROMPTS[prompt_index]}\""),
             gr.Audio(value=None, label="Record your response"),
             gr.Button("Submit Recording", interactive=False),
@@ -165,7 +165,7 @@ def next_prompt(prompt_index):
     # Display the next prompt
     return (
         gr.Markdown(f"# Recording {prompt_index + 1}/{MAX_RECORDINGS}"),
-        gr.Markdown(f"##  Please read out the following sentence:"),
+        gr.Markdown(f"##  Please record yourself reading the following sentence:"),
         gr.Markdown(f"### \"{PROMPTS[prompt_index]}\""),
         gr.Audio(value=None, label="Record your response", sources=["microphone"]),
         gr.Button("Submit Recording", interactive=False),
@@ -202,7 +202,7 @@ with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
     prompt_index = gr.State(0)
     
     title = gr.Markdown(f"# Recording 1/{MAX_RECORDINGS}")
-    instructions = gr.Markdown("## Please read out the following sentence:")
+    instructions = gr.Markdown("## Please record yourself reading the following sentence:")
     prompt_text = gr.Markdown(f"### \"{PROMPTS[0]}\"")
     
     audio_input = gr.Audio(