Update app.py

app.py

@@ -4,4 +4,14 @@ def greet(name):
     return "Hello " + name + "!!"
 
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+demo.launch()
+
+from peft import AutoPeftModelForSeq2SeqLM
+
+base_model_id = "facebook/nllb-200-distilled-600M"
+adapter_model_id = "your-adapter-repo"
+
+peft_model = AutoPeftModelForSeq2SeqLM.from_pretrained(base_model_id, adapter_model_id)
+
+# now you can call the merge_and_unload method which returns a regular NLLB model which you can use for inference
+model = peft_model.merge_and_unload()