Update app.py

app.py

@@ -1,16 +1,6 @@
 import gradio as gr
-import os
 import pandas as pd
 
-path_to_generation_model = str(os.environ['path_to_generation_model'])
-path_to_GNER_model       = str(os.environ['path_to_GNER_model'])
-
-path_to_L_model = str(os.environ['path_to_L_model'])
-path_to_S_model = str(os.environ['path_to_S_model'])
-
-read_token      = str(os.environ['read_token'])
-read_token_ii   = str(os.environ['read_token_ii'])
-
 languages = pd.read_csv("model_lang.csv", names=["Lang_acr"])
 
 
@@ -77,35 +67,31 @@ interface_words = gr.Interface(
 )
 
 interface_model_L = gr.Interface.load(
-            name=path_to_L_model,
+            name="huggingface/DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence",
             description=description_L,
             examples=examples,
             title="DSA Large Multilingual",
-            api_key=read_token,
 )
 
 interface_model_S = gr.Interface.load(
-            name=path_to_S_model,
+            name="huggingface/DReAMy-lib/bert-base-cased-DreamBank-emotion-presence",
             description=description_S,
             examples=examples[0],
             title="DSA Base English-Only",
-            api_key=read_token_ii,
 )
 
 interface_model_G = gr.Interface.load(
-            name=path_to_generation_model,
+            name="huggingface/DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char",
             description=description_G,
             examples=examples_g,
             title="DSA Generation",
-            api_key=read_token_ii,
 )
 
 interface_model_NER = gr.Interface.load(
-            name=path_to_GNER_model,
+            name="huggingface/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char",
             description=description_GNER,
             examples=examples_g,
             title="NER Generation",
-            api_key=read_token_ii,
 )
 
 gr.TabbedInterface(