Update app.py

decay calculation add

app.py

@@ -221,8 +221,9 @@ def patient_release_decision(neck_dose_microSv_hr: float, exposure_duration_hr:
     
     Args:
         neck_dose_microSv_hr (float): Measured neck dose in μSv/hr.
-        exposure_duration_hr (float): Duration of exposuradio_active_decay_toore (hours) at the measured dose rate.
-        remaining_activity(float): radioactive_decay_tool(nuclide, initial_activity, elapsed_days)
+        exposure_duration_hr (float): elapsed time.
+        initial_activity  (float): administered activity in mci.
+        remaining_activity(float): calculating decay 
         sef (str): Socio-Economic Factor, which should be either "good" or "bad".
         
     Returns:
@@ -242,9 +243,11 @@ def patient_release_decision(neck_dose_microSv_hr: float, exposure_duration_hr:
     # Convert mSv to rem: multiply by 0.1 (since 1 mSv = 0.1 rem)
     OF=OCCUPATIONAL_LIMITS.get("Occupancy factor (6/24)")
     nuclide={RADIOACTIVE_NUCLIDES.get("I-131")}
-    rem_activity=radioactive_decay_tool(nuclide, initial_activity, elapsed_days)  #mci
+    decay_constant = math.log(2) / nuclide
+    # Compute remaining activity
+    remaining_activity = initial_activity * math.exp(-decay_constant * exposure_duration_hr )#mci
     total_dose_microSv = neck_dose_microSv_hr * 1.44*24*8.02*0.25
-    total_activity_microSv=(rem_activity*1.44*24*2.2*8.02*0.25)
+    total_activity_microSv=(remaining_activity*1.44*24*2.2*8.02*0.25)
     total_dose_mSv = total_dose_microSv / 1000
     tede_rem = total_dose_mSv * 0.1
     tede_rem_activity=(total_activity_microSv)/10000
@@ -1003,3 +1006,4 @@ with gr.Blocks() as ui:
 # Launch the Gradio app with public URL
 #ui.launch()
 ui.launch(share=False, show_api=False)  # Ensures no external sharing & API buttons
+x