Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("ByteDance-Seed/UI-TARS-1.5-7B")
+model = AutoModelForCausalLM.from_pretrained("ByteDance-Seed/UI-TARS-1.5-7B")
+
+def predict(ui_context, goal):
+    prompt = f"<context>{ui_context}</context>\n<task>{goal}</task>"
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=128)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=predict,
+             inputs=["textbox", "textbox"],
+             outputs="textbox",
+             title="UITARS 1.5 Action Predictor"
+            ).launch()