Update id_lang_tab.py

tabs/id_lang_tab.py

@@ -329,6 +329,11 @@ def run():
             st.button(label=tr("Validez"), type="primary")
 
         if custom_sentence!='':
+                           
+            url = "https://demosthene-or-api-avr23-cds-translation.hf.space/lang_id_dl"
+            params = {"sentence": custom_sentence}
+            response = requests.get(url, params=params)
+            
             st.write("## **"+tr("Résultats")+" :**\n")
             md = """
                 |"""+tr("Identifieur")+"""                          |"""+tr("Langue identifiée")+"""|
@@ -338,14 +343,9 @@ def run():
                 lan_reelle = sentence_test['lan_code'].loc[sentence_test['sentence']==custom_sentence].tolist()[0]
                 md1 = """
                 |"""+tr("Langue réelle")+"""                        |**:blue["""+lan_to_language[lan_reelle]+"""]**|"""
-                
-            url = "https://demosthene-or-api-avr23-cds-translation.hf.space/lang_id_dl"
-            params = {"sentence": custom_sentence}
-            response = requests.get(url, params=params)
-            
             md2 = """
                 |"""+tr("Classificateur Naïve Bayes")+"""           |**:red["""+lang_id_nb(custom_sentence)+"""]**|
-                |"""+tr("Modèle de Deep Learning")+"""           |**:red["""+response.json()+"""]**|"""
+                |"""+tr("Modèle de Deep Learning")+"""           |**:red["""+str(response.json())+"""]**|"""
             md3 = """
                 |XLM-RoBERTa (Hugging Face)           |**:red["""+lan_to_language[dict_xlmr[lang_id_model_ext(custom_sentence)[0]['label']]]+"""]**|"""
             if toggle_val: