Update app.py

app.py

@@ -27,7 +27,7 @@ plt.rcParams.update({
 EP_RANGE = np.linspace(0, 15, 600)
 
 def calc_paf(episodes, incidence, zscore, rr):
-    return 1 - 1 / np.exp(episodes * incidence * zscore * rr)
+    return 1 - 1 / (episodes * incidence * zscore * rr)
 
 # ── plot function ──────────────────────────────────────────────────────────
 def draw(ep, inc, zs, rr):
@@ -80,7 +80,7 @@ def draw(ep, inc, zs, rr):
 
     # formula watermark
     ax.text(0.98, 0.05,
-            'PAF = 1 − exp(−ep × inc × Δz × RR)',
+            'PAF = 1 − 1/(ep × inc × Δz × RR)',
             transform=ax.transAxes, fontsize=11,
             color=C_DIM, ha='right', va='bottom')
 
@@ -97,8 +97,8 @@ def draw(ep, inc, zs, rr):
         ('Δz / ep.',  f'{zs:.3f}',                 C_ZS),
         ('RR',        f'{rr:.3f}',                 C_RR),
         ('─' * 10,    '─' * 6,                    C_BORDER),
-        ('exponent',  f'{exponent:.4f}',           '#475569'),
-        ('exp(−x)',   f'{1/np.exp(exponent):.4f}', '#475569'),
+        #('exponent',  f'{exponent:.4f}',           '#475569'),
+        #('exp(−x)',   f'{1/np.exp(exponent):.4f}', '#475569'),
         ('─' * 10,    '─' * 6,                    C_BORDER),
         ('PAF',       f'{cur_paf*100:.2f}%',       ACCENT),
     ]
@@ -129,7 +129,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="PAF Visualizer") as demo:
         Population Attributable Fraction Visualizer
       </span><br>
       <span style="color:#64748b;font-size:13px;">
-        PAF = 1 − exp(−episodes × incidence × Δz × RR)
+        PAF = 1 − 1/(episodes × incidence × Δz × RR)
       </span>
     </div>""")