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import gradio as gr
from sagan_inference import run_sagan, z_score_standardize
AGE_CHOICES = ["kindergarten", "grade_6", "adult"]
def score_audio(audio, age_group):
# Gradio passes `audio` as (tempfilepath, sr)
wav_path = audio[0]
raw = run_sagan(wav_path)
calibrated = z_score_standardize(raw, age_group)
# Display-friendly labels
return {
"Pitch Accuracy (0–1)": calibrated["pitch"],
"Rhythm Consistency (0–1)": calibrated["rhythm"],
"Timbre Score (0–1)": calibrated["timbre"],
}
# with gr.Blocks() as demo:
# gr.Markdown("## SAGAN Singing Scorer with Age-Calibrated Z-Scores")
# audio_input = gr.Audio(source="upload", label="Upload Singing Clip")
# age_input = gr.Dropdown(AGE_CHOICES, label="Age Group")
# output = gr.Label(label="Calibrated Scores")
# btn = gr.Button("Score My Singing")
# btn.click(fn=score_audio,
# inputs=[audio_input, age_input],
# outputs=output)
with gr.Blocks() as demo:
gr.Markdown("## SAGAN Singing Scorer with Age-Calibrated Z-Scores")
audio_input = gr.Audio(
sources=["upload"], # use the plural `sources`
type="filepath", # returns a local file path to your fn
label="Upload Singing Clip"
)
age_input = gr.Dropdown(
choices=AGE_CHOICES,
label="Age Group"
)
# output = gr.Label(
# label="Calibrated Scores"
# )
output = gr.JSON(
label="Calibrated Scores"
)
btn = gr.Button("Score My Singing")
btn.click(
fn=score_audio,
inputs=[audio_input, age_input],
outputs=output
)
if __name__ == "__main__":
demo.launch()
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