Update app.py

app.py

@@ -1,32 +1,21 @@
-import os
-import warnings
-warnings.filterwarnings("ignore", message="pkg_resources is deprecated")
-
+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__)
-
+import gradio_client, fastapi
+print("VERSIONS -> gradio:", gr.__version__, "gradio_client:", gradio_client.__version__, "fastapi:", fastapi.__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")
+    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.JSON(label="Result"),
+    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,   # be gentle on Spaces CPU
-        share=True
-    )
+    demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True, max_threads=1, share=True)  # ← share=True