Update app.py

app.py

@@ -1,23 +1,21 @@
-
 import pandas as pd
 import gradio as gr
 
+CSV_PATH = "/judged-fast-accurate-downsampled.csv"
+
 
-def load_csv(file_obj):
-    if file_obj is None:
-        return None, "Upload a judged CSV to begin."
+def load_csv_from_path(path: str):
     try:
-        df = pd.read_csv(file_obj.name)
+        df = pd.read_csv(path)
         return df, ""
     except Exception as e:
-        return None, f"Failed to read CSV: {e}"
+        return None, f"Failed to read CSV at {path}: {e}"
 
 
-def filter_rows(file_obj, mode, similar, text_filter, max_rows):
-    df, err = load_csv(file_obj)
-    if err:
-        return err, "", None
-    if df is None or df.empty:
+def filter_rows(df, mode, similar, text_filter, max_rows):
+    if df is None:
+        return "No data loaded. Click Reload.", "", None
+    if df.empty:
         return "No data in CSV.", "", None
 
     # Expected columns from judged-fast-accurate CSV
@@ -92,7 +90,8 @@ def filter_rows(file_obj, mode, similar, text_filter, max_rows):
 with gr.Blocks() as demo:
     gr.Markdown("# OCR Judge Viewer")
     with gr.Row():
-        file_in = gr.File(label="judged-fast-accurate CSV", file_types=[".csv"])
+        path_in = gr.Textbox(value=CSV_PATH, label="CSV path", interactive=True)
+        reload_btn = gr.Button("Reload")
         mode = gr.Dropdown(["both", "fast", "accurate"], value="both", label="Mode")
         similar = gr.Dropdown(["all", "true", "false"], value="all", label="similar flag")
         text_filter = gr.Textbox(label="Search text", placeholder="search in truth/reasons")
@@ -100,12 +99,15 @@ with gr.Blocks() as demo:
     err_box = gr.Markdown()
     summary_box = gr.Markdown()
     table = gr.Dataframe(wrap=True)
+    data_state = gr.State(None)
 
-    file_in.change(filter_rows, [file_in, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
-    mode.change(filter_rows, [file_in, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
-    similar.change(filter_rows, [file_in, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
-    text_filter.change(filter_rows, [file_in, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
-    max_rows.change(filter_rows, [file_in, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
+    reload_btn.click(load_csv_from_path, [path_in], [data_state, err_box]).then(
+        filter_rows, [data_state, mode, similar, text_filter, max_rows], [err_box, summary_box, table]
+    )
+    mode.change(filter_rows, [data_state, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
+    similar.change(filter_rows, [data_state, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
+    text_filter.change(filter_rows, [data_state, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
+    max_rows.change(filter_rows, [data_state, mode, similar, text_filter, max_rows], [err_box, summary_box, table])
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    demo.launch(server_name="0.0.0.0", server_port=7860, ssr_mode=False)