Create app.py

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("m-a-p/YuE-s1-7B-anneal-en-cot")
+model = AutoModelForCausalLM.from_pretrained("m-a-p/YuE-s1-7B-anneal-en-cot")
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=50)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=generate_text, inputs="text", outputs="text").launch()