Update app.py

app.py

@@ -65,11 +65,11 @@ class model_onxx:
         return self.model
     def convert_model_decoder_onxx(self,n_model,token,namemodelonxx):
         self.model= VitsModel.from_pretrained(n_model,token=token)
-        x=f"{namemodelonxx}.onnx"
+        x=f"dowload_file/{namemodelonxx}.onnx"
         return x
     def convert_to_onnx_only_decoder(self,n_model,token,namemodelonxx):
           model=VitsModel.from_pretrained(n_model,token=token)
-          x=f"{namemodelonxx}.onnx"
+          x=f"dowload_file/{namemodelonxx}.onnx"
         
           vocab_size = model.text_encoder.embed_tokens.weight.size(0)
           example_input = torch.randint(0, vocab_size, (1, 100), dtype=torch.long)
@@ -90,7 +90,7 @@ class model_onxx:
     def convert_to_onnx_all(self,n_model,token ,namemodelonxx):
 
           model=VitsModel.from_pretrained(n_model,token=token)
-          x=f"{namemodelonxx}.onnx"
+          x=f"dowload_file/{namemodelonxx}.onnx"
 
           vocab_size = model.text_encoder.embed_tokens.weight.size(0)
           example_input = torch.randint(0, vocab_size, (1, 100), dtype=torch.long)