Update app.py

app.py

@@ -100,14 +100,13 @@ def positions_list():
     return sorted(vals)
 
 def nations_list():
-    if "Nation" in DF.columns and not DF["Nation"].dropna().empty:
-        return sorted(set(DF["Nation"].dropna().tolist()))
-    vals = []
+    # Always list all countries (minus exclusions), not just those in the dataset
+    all_names = []
     for c in pycountry.countries:
         nm = c.name
         if re.sub(r"\s+"," ", nm).upper() not in EXCLUDED_NATIONS:
-            vals.append(nm)
-    return sorted(set(vals))
+            all_names.append(nm)
+    return sorted(set(all_names))
 
 def clubs_list():
     if "Club" not in DF.columns: return []
@@ -144,7 +143,7 @@ def to_csv_bytes(df):
     df.to_csv(buf, index=False, encoding="utf-8")
     return buf.getvalue().encode("utf-8")
 
-# === UI (spread out, no accordion) ===
+# === UI ===
 THEME = gr.themes.Soft(primary_hue="blue")
 CSS = """
 #title { text-align:center; }
@@ -155,14 +154,14 @@ CSS = """
 with gr.Blocks(theme=THEME, css=CSS) as demo:
     gr.Markdown("<h1 id='title'>ProScout — Player Finder</h1>")
 
-    # ROW: filters (3 columns) + results (wide on the right)
+    # Filters in three columns, results wide on the right
     with gr.Row():
-        # Column 1: categorical filters + search
+        # Column 1: positions + nations/clubs + free-text search at the end
         with gr.Column(scale=1, elem_classes="card"):
             pos = gr.CheckboxGroup(positions_list(), label="Positions", value=[], info="Pick one or more")
             nat = gr.Dropdown(nations_list(), multiselect=True, label="Nations", value=[], filterable=True)
             clu = gr.Dropdown(clubs_list(), multiselect=True, label="Clubs", value=[], filterable=True)
-            query = gr.Textbox(label="Search (Name / Club / Nation / Position)", placeholder="e.g., Maccabi, Brazil, CAM")
+            query = gr.Textbox(label="Search", placeholder="e.g., Maccabi, Brazil, CAM")
 
         # Column 2: ratings & age
         with gr.Column(scale=1, elem_classes="card"):
@@ -170,9 +169,6 @@ with gr.Blocks(theme=THEME, css=CSS) as demo:
             min_pot = gr.Slider(0, 99, value=0, step=1, label="Min Potential")
             max_age = gr.Slider(15, 45, value=45, step=1, label="Max Age")
 
-            gr.Markdown("")  # spacer
-            btn = gr.Button("Search", variant="primary")
-
         # Column 3: physical & financial
         with gr.Column(scale=1, elem_classes="card"):
             min_h = gr.Slider(140, 210, value=140, step=1, label="Min Height (cm)")
@@ -182,7 +178,7 @@ with gr.Blocks(theme=THEME, css=CSS) as demo:
             max_val = gr.Number(value=np.nan, label="Max Value (EUR)")
             max_wage = gr.Number(value=np.nan, label="Max Wage (EUR)")
 
-        # Results panel
+        # Results panel (wide)
         with gr.Column(scale=2, elem_classes="card"):
             results = gr.Dataframe(row_count=(12,"dynamic"), wrap=True, interactive=False, label="Results")
             with gr.Row():
@@ -191,6 +187,12 @@ with gr.Blocks(theme=THEME, css=CSS) as demo:
                 avg_age_box = gr.Markdown("", elem_classes="stat")
             dl = gr.DownloadButton("Download CSV")
 
+    # Button full-width under filters/results
+    with gr.Row():
+        gr.Markdown("")  # left spacer
+        btn = gr.Button("Search", variant="primary")
+        gr.Markdown("")  # right spacer
+
     def _run(positions, nations, clubs, min_overall, min_potential,
              max_age, min_h, max_h, min_w, max_w, max_val, max_wage, query):
         df = filter_players(positions, nations, clubs, min_overall, min_potential,
@@ -201,7 +203,7 @@ with gr.Blocks(theme=THEME, css=CSS) as demo:
         csv_bytes = to_csv_bytes(df)
         return df, f"**Players:** {count}", f"**Avg OVR:** {avg_ovr}", f"**Avg Age:** {avg_age}", csv_bytes
 
-    # Show data immediately on load (no empty screen)
+    # Load initial data automatically
     demo.load(
         _run,
         inputs=[pos,nat,clu,min_ovr,min_pot,max_age,min_h,max_h,min_w,max_w,max_val,max_wage,query],