Change gl

app.py

@@ -61,8 +61,8 @@ model_id_cerebras  = "proxectonos/Cerebras-1.3B-GL"
 generator_model_cerebras = pipeline("text-generation", model=model_id_cerebras, token=os.environ['TOKEN_HF'])
 
 # Load language texts ---------------------------------------------------------
-df_texts = pd.read_csv("multilingual_texts.csv")
-lang = "gl"
+df_interface = pd.read_csv("interface_texts.csv")
+language = "gl"
 
 # Generation functions ---------------------------------------------------------
 def get_model(model_selection):
@@ -99,7 +99,7 @@ def predict(prompt, model_select, max_length, repetition_penalty, temperature):
 
 # Gradio app ---------------------------------------------------------
 def get_text_lang(variable):
-    return df_texts.loc[df_texts['variable'] == variable, lang].values[0]
+    return df_interface.loc[df_interface['variable'] == variable, language].values[0]
 
 def clear(): 
     return (
@@ -135,7 +135,7 @@ def gradio_app():
             with gr.Column(scale=0.1):
                 gr.HTML('<img src="https://huggingface.co/spaces/proxectonos/README/resolve/main/title-card.png" width="100%" style="border-radius: 0.75rem;">')
             with gr.Column():
-                gr.Markdown(markdown_description[lang])
+                gr.Markdown(markdown_description[language])
         with gr.Row(equal_height=True):            
                 model_select = gr.Dropdown(
                     label=get_text_lang["model_select"],