Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import matplotlib.pyplot as plt
 import numpy as np
 import math
+from datetime import datetime
 from matplotlib.ticker import FuncFormatter
 
 # Predefined hyperparameter sets
@@ -63,8 +64,7 @@ Enjoy it! 😊"""
 
 def process_inputs(E, A, k, alpha, n, p):
     """Process inputs and return results"""
-    if n < 1000: 
-        n = n * 1e9
+    n = n * 1e9
     plot = generate_plot(E, A, k, alpha)
     loss = pred_loss(E, A, k, alpha, n, p)
 
@@ -72,6 +72,8 @@ def process_inputs(E, A, k, alpha, n, p):
     n2 = n * (k * np.log(p) + 1) / (k * np.log(2) + 1) / 1e9
     n4 = n * (k * np.log(p) + 1) / (k * np.log(4) + 1) / 1e9
     n8 = n * (k * np.log(p) + 1) / (k * np.log(8) + 1) / 1e9
+
+    print(f"[{datetime.now()}] {E = }, {A = }, {k = }, {alpha = }, {n = }, {p = }")
     
     return plot, OUTPUT_TEMPLATE.format(n=round(n / 1e9, 2), p=p, n1=round(n1, 2), n2=round(n2, 2), n4=round(n4, 2), n8=round(n8, 2), loss=loss)