Add application file

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoTokenizer, pipeline
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("notexist/ttt")
+tdk = pipeline('text-generation', model='notexist/ttt', tokenizer=tokenizer)
+
+def predict(name):
+    x = tdk(f"<|endoftext|>{name}\n\n",
+        do_sample=True, 
+        max_length=64, 
+        top_k=75, 
+        top_p=0.95, 
+        num_return_sequences=1,
+        repetition_penalty=1.3
+    )[0]["generated_text"]
+
+    return x[len(f"<|endoftext|>{name}\n\n"):]
+
+
+
+iface = gr.Interface(fn=predict, inputs="text", outputs="text")
+iface.launch()