Update app.py

app.py

@@ -1,6 +1,16 @@
-import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "ModelSpace/GemmaX2-28-2B-v0.1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
 
-gr.load(
-   "models/ModelSpace/GemmaX2-28-2B-v0.1",
-   provider="hf-inference",
-).launch()
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    output = model.generate(**inputs)
+    return tokenizer.decode(output[0], skip_special_tokens=True)
+
+# 可选：如果要用 Gradio 作为 API
+import gradio as gr
+demo = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+demo.launch()