Update app.py

app.py

@@ -575,20 +575,6 @@ ctrain_datasets,eval_dataset,full_generation_dataset=get_data_loader(train_datas
 
 
 
-
-def greet(text,id):
-    global GK 
-    b=int(id)
-    while True:
-        GK+=1
-        texts=[text]*b
-        out=modelspeech(texts)
-        yield f"namber is {GK}"
-
-demo = gr.Interface(fn=greet, inputs=["text","text"], outputs="text")
-demo.launch()
-
-
 raining_args.weight_kl=1
 training_args.d_learning_rate=2e-4
 training_args.learning_rate=2e-4
@@ -625,7 +611,7 @@ for i in range(10000):
                 #    dict_state_grad_loss=sgl,
                     nk=50,
                         path_save_model=dir_model,
-                    maf=monotonic_align.maximum_path,
+                    maf=model.monotonic_align_max_path,
 
                     n_back_save_model=3000,
                     start_speeker=0,
@@ -633,4 +619,17 @@ for i in range(10000):
                     n_epoch=i*training_args.num_train_epochs,
 
 
-                                  )
+                                  )
+
+def greet(text,id):
+    global GK 
+    b=int(id)
+    while True:
+        GK+=1
+        texts=[text]*b
+        out=modelspeech(texts)
+        yield f"namber is {GK}"
+
+demo = gr.Interface(fn=greet, inputs=["text","text"], outputs="text")
+demo.launch()
+