app.py

import warnings; warnings.filterwarnings("ignore", message="pkg_resources is deprecated")
import gradio as gr
from pipeline import run_pipeline
import gradio_client, fastapi
print("VERSIONS -> gradio:", gr.__version__, "gradio_client:", gradio_client.__version__, "fastapi:", fastapi.__version__)

def infer(file):
    path = getattr(file, "name", file)  # gr.File gives a tempfile
    return run_pipeline(path, out_style="json")  # returns JSON string

demo = gr.Interface(
    fn=infer,
    inputs=gr.File(label="Upload audio/video (mp3, mp4, wav)"),
    outputs=gr.Textbox(label="Result (JSON text)"),  # ← was gr.JSON; use Textbox
    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, share=True)  # ← share=True