Upload app.py

app.py

@@ -243,7 +243,7 @@ def create_plot(data, label, reg_p, ai_p, overlap):
         tag = " ✅ OVERLAP" if overlap else ""
         fig.update_layout(title=f"{label}{tag}",
                           xaxis_title='Drive Amplitude (a.u.)', yaxis_title='Signal (a.u.)',
-                          height=600, margin=dict(l=50, r=30, t=50, b=50),
+                          height=650, margin=dict(l=60, r=40, t=60, b=60),
                           legend=dict(x=0.01, y=0.99), font=dict(size=13),
                           paper_bgcolor='rgba(0,0,0,0)', plot_bgcolor='rgba(0,0,0,0)')
         return fig
@@ -520,8 +520,8 @@ def refresh_analytics():
     taggers = list(MONGO_COL.aggregate(tp))
     tr = "\n".join(f"| {t['_id']} | {t['c']} |" for t in taggers) or "| — | — |"
 
-    clf_s = MONGO_DB['experiments_clf_success'].count_documents({}) if MONGO_DB else 0
-    clf_f = MONGO_DB['experiments_clf_failed'].count_documents({}) if MONGO_DB else 0
+    clf_s = MONGO_DB['experiments_clf_success'].count_documents({}) if MONGO_DB is not None else 0
+    clf_f = MONGO_DB['experiments_clf_failed'].count_documents({}) if MONGO_DB is not None else 0
 
     return f"""### 📈 Platform Statistics
 | Metric | Count |
@@ -711,9 +711,7 @@ CSS = """
 .rating-radio label:nth-child(3):has(input:checked) {
     background: #22c55e !important; color: #fff !important; }
 
-.clear-btn { min-width: 36px !important; max-width: 36px !important;
-    height: 36px !important; padding: 0 !important; font-size: 16px !important;
-    border-radius: 8px !important; margin-top: 28px !important; }
+
 """
 
 # JavaScript to enable click-to-toggle on radio buttons
@@ -787,27 +785,22 @@ def build_ui():
                         ws_conf = gr.HTML("<p style='color:#888'>Fetch an experiment to begin.</p>")
 
                 gr.Markdown("---")
-                gr.Markdown("💡 **Leave a rating empty = accept model prediction** (implicit agreement). "
-                            "Select an option only to **correct** the model. Click an option again or press ✕ to deselect.")
+                gr.Markdown("💡 **Leave a rating empty = accept model prediction.** "
+                            "Select only to correct the model.")
 
-                # Data Quality row
-                with gr.Row():
-                    with gr.Column(scale=9):
-                        gr.Markdown("### 📊 Data Quality")
-                        ws_dr = gr.Radio(choices=RATING_CHOICES, value=None,
-                                         label="Rate raw data:", elem_classes=["rating-radio"])
-                    dr_clr = gr.Button("✕", size="sm", elem_classes=["clear-btn"], scale=0)
+                ws_reset = gr.Button("🔄 Clear All Ratings", size="sm")
 
+                # Data Quality
+                gr.Markdown("### 📊 Data Quality")
+                ws_dr = gr.Radio(choices=RATING_CHOICES, value=None,
+                                 label="Rate raw data:", elem_classes=["rating-radio"])
                 ws_cd = gr.Textbox(label="Data notes (optional)", lines=2)
 
                 # Fit Quality — SINGLE (overlap)
                 with gr.Column(visible=True) as ws_fs_col:
-                    with gr.Row():
-                        with gr.Column(scale=9):
-                            gr.Markdown("### 📐 Fit Quality (Combined)")
-                            ws_fs = gr.Radio(choices=RATING_CHOICES, value=None,
-                                             label="Rate the fit:", elem_classes=["rating-radio"])
-                        fs_clr = gr.Button("✕", size="sm", elem_classes=["clear-btn"], scale=0)
+                    gr.Markdown("### 📐 Fit Quality (Combined)")
+                    ws_fs = gr.Radio(choices=RATING_CHOICES, value=None,
+                                     label="Rate the fit:", elem_classes=["rating-radio"])
                     ws_cs = gr.Textbox(label="Fit notes (optional)", lines=2)
 
                 # Fit Quality — DUAL (diverge)
@@ -816,32 +809,18 @@ def build_ui():
                     with gr.Row():
                         with gr.Column():
                             gr.Markdown("#### 🟦 Regular Fit")
-                            with gr.Row():
-                                ws_fr = gr.Radio(choices=RATING_CHOICES, value=None,
-                                                 label="Regular Fit:", elem_classes=["rating-radio"],
-                                                 scale=9)
-                                fr_clr = gr.Button("✕", size="sm", elem_classes=["clear-btn"], scale=0)
+                            ws_fr = gr.Radio(choices=RATING_CHOICES, value=None,
+                                             label="Regular Fit:", elem_classes=["rating-radio"])
                             ws_cr = gr.Textbox(label="Regular fit notes", lines=2)
                         with gr.Column():
                             gr.Markdown("#### 🟩 AI Fit")
-                            with gr.Row():
-                                ws_fa = gr.Radio(choices=RATING_CHOICES, value=None,
-                                                 label="AI Fit:", elem_classes=["rating-radio"],
-                                                 scale=9)
-                                fa_clr = gr.Button("✕", size="sm", elem_classes=["clear-btn"], scale=0)
+                            ws_fa = gr.Radio(choices=RATING_CHOICES, value=None,
+                                             label="AI Fit:", elem_classes=["rating-radio"])
                             ws_ca = gr.Textbox(label="AI fit notes", lines=2)
 
                 gr.Markdown("---")
+                ws_submit = gr.Button("🚀 Submit Feedback & Next", variant="primary", size="lg")
 
-                with gr.Row():
-                    ws_reset = gr.Button("🔄 Clear All Ratings", size="sm", scale=1)
-                    ws_submit = gr.Button("🚀 Submit Feedback & Next", variant="primary", scale=3)
-
-                # Wire clear buttons (individual toggle deselection)
-                dr_clr.click(lambda: None, [], [ws_dr])
-                fs_clr.click(lambda: None, [], [ws_fs])
-                fr_clr.click(lambda: None, [], [ws_fr])
-                fa_clr.click(lambda: None, [], [ws_fa])
                 ws_reset.click(reset_ratings, [], [ws_dr, ws_fs, ws_fr, ws_fa])
 
                 # Output list — 18 components