Update app.py

app.py

@@ -78,23 +78,25 @@ interface_words = gr.Interface(
             examples=example_main,
 )
 
-interface_model_L = gr.Interface.load(
-            "models/DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence",
+interface_model_L = gr.Interface(
+            description=description_L,
             examples=examples,
             title="SA Large Multilingual",
 )
+interface_model_L.load("models/DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence")
 
-interface_model_S = gr.Interface.load(
-            "models/DReAMy-lib/bert-base-cased-DreamBank-emotion-presence",
-            examples=examples[0],
-            title="SA Base English-Only",
-)
 
-interface_model_G = gr.Interface.load(
-            "models/DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char",
-            examples=examples_g,
-            title="SA Generation",
-)
+# interface_model_S = gr.Interface.load(
+#             "models/DReAMy-lib/bert-base-cased-DreamBank-emotion-presence",
+#             examples=examples[0],
+#             title="SA Base English-Only",
+# )
+
+# interface_model_G = gr.Interface.load(
+#             "models/DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char",
+#             examples=examples_g,
+#             title="SA Generation",
+# )
 
 # interface_model_RE = gr.Interface(
 #         text_to_graph,
@@ -110,13 +112,13 @@ interface_model_G = gr.Interface.load(
 #         cache_examples=True,
 # )
 
-interface_model_NER = gr.Interface.load(
-            "models/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char",
-            examples=examples_g,
-            title="NER Generation",
+# interface_model_NER = gr.Interface.load(
+#             "models/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char",
+#             examples=examples_g,
+#             title="NER Generation",
 )
 
 gr.TabbedInterface(
-    [interface_words, interface_model_NER, interface_model_L, interface_model_S, interface_model_G], 
-    ["Main", "NER Generation", "SA Large Multilingual", "SA Base En", "SA En Generation"],
+    [interface_words, interface_model_L], 
+    ["Main","SA Large Multilingual"],
 ).launch()