Update app.py

app.py

@@ -1,15 +1,26 @@
 import gradio as gr
 import os
+import pandas as pd
 
 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'])
 
+
+languages = pd.read_csv("model_lang.csv", names=["Lang_acr"])
+
+def check_lang(lang_acronym):
+    if lang_acronym in languages["Lang_acr"].to_list():
+        return "True"
+    else: 
+        return "False"
+    
 title = "DSA II"
 
 description_main = """
 A set of models to perform sentiment analysis. Choose between Large-Multilingual or Small-En-only. 
 
+Use the interface to check if a language is included in the multilingual model, using language acronyms (e.g. it for Italian).
 Select one of the two pages to start querying one of the two models.
 """
 
@@ -28,9 +39,9 @@ examples = [
 ]
 
 interface_words = gr.Interface(
-            fn=None,
-            inputs=None, 
-            outputs=None,
+            fn=check_lang,
+            inputs="text", 
+            outputs="text",
             description=description_main,
 )