Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+
+# Load base and adapter model
+base_model = "microsoft/phi-2"
+adapter_model = "Sabbir772/phi2_sylhet"
+
+tokenizer = AutoTokenizer.from_pretrained(base_model)
+base = AutoModelForCausalLM.from_pretrained(base_model)
+model = PeftModel.from_pretrained(base, adapter_model)
+model.eval()
+
+def infer(text):
+    inputs = tokenizer(text, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=50)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+demo = gr.Interface(fn=infer, inputs="text", outputs="text", title="Phi-2 Sylheti Translator")
+demo.launch()