Add application file

app.py

@@ -15,16 +15,17 @@ def compute_optimal_vocab(Nnv: float,
                         flops: float, 
                         ):
     
-    # if flops is None:
-    #     Vopt_app1 = approach1_isoflops(Nnv)
-    #     Vopt_app2 = approach2_derivative(Nnv)
-    #     Vopt_app3 = approach3_isoloss(Nnv) 
-    # else:
-    #     Vopt_app1,  Vopt_app2 = None, None
-    #     Vopt_app3 = approach3_isoloss(Nnv, flops) 
-    Vopt_app1, Vopt_app2, Vopt_app3=1.,2.,3.
+    if flops is None:
+        Vopt_app1 = approach1_isoflops(Nnv)
+        Vopt_app2 = approach2_derivative(Nnv)
+        Vopt_app3 = approach3_isoloss(Nnv) 
+    else:
+        Vopt_app1,  Vopt_app2 = None, None
+        Vopt_app3 = approach3_isoloss(Nnv, flops) 
+    # Vopt_app1, Vopt_app2, Vopt_app3=1.,2.,3.
     
-    results = f"## The optimal vocabulary size for non-vocabulary parameters {Nnv:1e} is:\nApproach 1: {Vopt_app1}\nApproach 2: {Vopt_app2}Approach 3: {Vopt_app3}"
+    results = 'test'
+    # results = f"The optimal vocabulary size is:\nApproach 1: {Vopt_app1}\nApproach 2: {Vopt_app2}\nApproach 3: {Vopt_app3}"
     return results
 
 
@@ -52,9 +53,7 @@ with gr.Blocks() as demo:
         with gr.Row():
             btn = gr.Button("Compute the optimal vocabulary size")
 
-  
-        # demo = gr.Interface(fn=compute_optimal_vocab, inputs=[Nnv, flops], outputs=output_text)
-        btn.click(
+          btn.click(
                 compute_optimal_vocab,
                 inputs=[Nnv, flops],
                 outputs=output_text