Update app.py

app.py

@@ -1,20 +1,15 @@
 
-import os
 import numpy as np
 import gradio as gr
 from gradio.mix import Series
 
-path_to_L_model = str(os.environ['path_to_L_model'])
-read_token      = str(os.environ['read_token'])
-
 description = "This space mixes the large-multilingual [emotion classification model of DReAMy](https://github.com/lorenzoscottb/DReAMy) with the whisper model from OpenAI, to directly classify recording according to the Hall and Van de Castle framework, with respect to emotions."
 title       = "DReAM v. II"
 
 wisper = gr.Interface.load("models/openai/whisper-base")
 
 interface_model_L = gr.Interface.load(
-            name=path_to_L_model,
-            api_key=read_token,
+            name="huggingface/DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence",
 )
 
 Series(