entry

app.py

@@ -251,8 +251,8 @@ def main():
         conditioning = {"symbolic_conditioning": cond_tokens, "numerical_conditioning": torch.tensor(numberical_conditioning).float()}
     #conditioning = {"symbolic_conditioning": torch.tensor([1,2],device="cuda").long(), "numerical_conditioning": torch.tensor([],device="cuda").float()}
 
-    
-    fit = st.button("Run the model")
+    st.markdown("### Results")
+    fit = st.button("Click here to run the models and get the results")
     if fit:
         st.write("Results are being computed, will be displayed in a few seconds...")
         if is_cuda:
@@ -262,7 +262,7 @@ def main():
             
         new_outputs = fitfunc(X, y,conditioning, cond_str_tokens,  is_batch=False)
         
-        st.markdown("### Results")
+        
         st.markdown("#### NSRwH")
 
         best_prediction = new_outputs["best_pred"]