Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+import torch
+from your_modelgpt_dev_file import BigramLanguageModel  # Import your model class
+
+# Load model
+model = BigramLanguageModel()
+model.load_state_dict(torch.load('transformer_weights.pth'))
+model.eval()
+
+def predict(input_text):
+    # Your preprocessing and prediction code
+    # output = model(input_text)
+    return "Predicted output"  # Replace with actual prediction logic
+
+interface = gr.Interface(fn=predict, inputs="text", outputs="text")
+interface.launch()