Update app.py

app.py

@@ -1,20 +1,27 @@
-import spaces
-from diffusers import DiffusionPipeline
+import os
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, TextGenerationPipeline
 
+# 使用你在 Spaces 中添加的 Secret
+hf_token = os.environ.get("HUGGINGFACE_TOKEN")
+
+# 加载 tokenizer 和模型（带token）
 model_id = "google/gemma-3-27b-it"
+tokenizer = AutoTokenizer.from_pretrained(model_id, token=hf_token)
+model = AutoModelForCausalLM.from_pretrained(model_id, token=hf_token, device_map="auto")
 
-pipe = DiffusionPipeline.from_pretrained(
-    model_id, 
-    device_map="balanced"
-)
-pipe.to('cuda')
+# 构造推理管道
+pipe = TextGenerationPipeline(model=model, tokenizer=tokenizer)
 
-@spaces.GPU
+# 推理函数
 def generate(prompt):
-    return pipe(prompt).images
+    output = pipe(prompt, max_new_tokens=100, do_sample=True, temperature=0.7)
+    return output[0]["generated_text"]
 
+# Gradio UI
 gr.Interface(
     fn=generate,
-    inputs=gr.Text(),
-    outputs=gr.Gallery(),
-).launch()
+    inputs=gr.Text(label="Enter your prompt"),
+    outputs=gr.Textbox(label="Generated Text"),
+    title="Gemma-3-27B Text Generation"
+).launch()