Create app.py

app.py

@@ -0,0 +1,15 @@
+#Gradio App
+def predict(input_text):
+    inputs = tokenizer.encode(input_text, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=100)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+
+import gradio as gr
+
+iface = gr.Interface(fn=predict, 
+                     inputs="text", 
+                     outputs="text",
+                     title="Fine-Tuned Language Model",
+                     description="Type something to interact with the fine-tuned model.")
+iface.launch()