Corrected XLM-roberta-base pipeline and integration

app.py

@@ -26,7 +26,7 @@ for model_name in name_list:
 
 #Manually add xlmr base 
 
-xlmr_model = AutoModelForMaskedLM.from_pretrained(model_name, max_length=512)
+xlmr_model = AutoModelForMaskedLM.from_pretrained('xlm-roberta-base', max_length=512)
 xlmr_tokenizer = AutoTokenizer.from_pretrained('xlm-roberta-base', max_length=512, truncation=True,)
 xlmr_p = pipeline("fill-mask", model=model, tokenizer=tokenizer)
 
@@ -40,7 +40,7 @@ def xlmr_base_fn(text):
 
 interfaces.append(gr.Interface(fn=xlmr_base_fn, inputs=gr.inputs.Textbox(lines=5, 
                                                                         placeholder="Choose an example below, or add your own text with a single masked word, using <mask>."), 
-                                                                        outputs=gr.outputs.Label(label=model_name)))
+                                                                        outputs=gr.outputs.Label(label='xlm-roberta-base')))
 
 # Manually add longformer
 p = pipeline("fill-mask", model='allenai/longformer-base-4096')