app.py

import os
import warnings
warnings.filterwarnings("ignore", message="pkg_resources is deprecated")

import gradio as gr
from pipeline import run_pipeline
import gradio as gr, fastapi, gradio_client
print("GRADIO_VER:", gr.__version__, "FASTAPI_VER:", fastapi.__version__, "GRADIO_CLIENT_VER:", gradio_client.__version__)


def infer(file):
    # gr.File gives a tempfile object; if you used gr.Audio it might be a str
    path = getattr(file, "name", file)
    return run_pipeline(path, out_style="json")

demo = gr.Interface(
    fn=infer,
    inputs=gr.File(label="Upload audio/video (mp3, mp4, wav)"),
    outputs=gr.JSON(label="Result"),
    title="Aphasia Classification",
    description="MP3/MP4 → WAV → .cha → JSON → model",
    concurrency_limit=1,
)

if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        show_error=True,
        max_threads=1,   # be gentle on Spaces CPU
        share=True
    )