description update app.py

gradio interface description update

app.py

@@ -8,20 +8,20 @@ df.drop_duplicates(inplace=True, ignore_index=True)
 
 model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
 
-def run_question(domanda):
+def run_question(Question):
     somme = []
     for jdx, j in enumerate(list(df.Question)):
         somme.append(float(util.pytorch_cos_sim(
             model.encode(list(df.Question)[jdx], convert_to_tensor=True),
-            model.encode(domanda, convert_to_tensor=True))))
+            model.encode(Question, convert_to_tensor=True))))
     if round(max(somme)*100) < 70:
-        return 'Sorry, could you paraphrase your question? I quide didn\'t catch that...'
+        return 'I\'m sorry, I\'m not sure I understood your question. Could you try again?'
     else:
         return df.loc[somme.index(max(somme)), 'Answer']
 
 gradio.Interface(run_question, "text", "text",
                  title='Introducing C.A.BOT',
-                 description='This is Cabot, the Consular Affairs bot. Give it a try asking').launch()
+                 description='Hi! This is Cabot, the Consular Affairs bot.\nI will help you answer your questions about the Citizen Services that you can request at the Consular Sections within U.S. Embassy Rome.').launch()