use nllb-distilled-1.3B model

Signed-off-by: Ilham Syahid S <ilhamsyahids@gmail.com>

app.py

@@ -7,9 +7,9 @@ from flores200_codes import flores_codes
 def load_models():
     # build model and tokenizer
     model_name_dict = {
-        "nllb-distilled-600M": "facebook/nllb-200-distilled-600M",
+        # "nllb-distilled-600M": "facebook/nllb-200-distilled-600M",
         "nllb-distilled-1.3B": "facebook/nllb-200-distilled-1.3B",
-        "nllb-1.3B": "facebook/nllb-200-1.3B",
+        # "nllb-1.3B": "facebook/nllb-200-1.3B",
         # "nllb-3.3B": "facebook/nllb-200-3.3B",
     }
 
@@ -68,9 +68,9 @@ if __name__ == "__main__":
     inputs = [
         gr.inputs.Radio(
             [
-                "nllb-distilled-600M",
+                # "nllb-distilled-600M",
                 "nllb-distilled-1.3B",
-                "nllb-1.3B",
+                # "nllb-1.3B",
                 #  "nllb-3.3B"
             ],
             label="NLLB Model",
@@ -87,7 +87,7 @@ if __name__ == "__main__":
 
     demo_status = "Demo is running on CPU"
     description = f"Using NLLB model, details: https://github.com/facebookresearch/fairseq/tree/nllb. {demo_status}"
-    examples = [["nllb-1.3B", "Najdi Arabic", "English", "جلست اطفال"]]
+    examples = [["nllb-distilled-1.3B", "Najdi Arabic", "English", "جلست اطفال"]]
 
     gr.Interface(
         translation,