Create app.py

app.py

@@ -0,0 +1,36 @@
+
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# 加载模型和分词器
+model_name = "RWKV/rwkv-raven-1b5"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# 定义模型推断函数
+def generate_text(input_text):
+    input_ids = tokenizer.encode(input_text, return_tensors="pt")
+    output = model.generate(input_ids, max_length=100, num_return_sequences=1)
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return generated_text
+
+# 创建Gradio界面
+def gradio_interface():
+    text_input = gr.inputs.Textbox(label="输入文本")
+    text_output = gr.outputs.Textbox(label="生成文本")
+
+    interface = gr.Interface(
+        fn=generate_text,
+        inputs=text_input,
+        outputs=text_output,
+        title="文本生成器",
+        description="输入一段文本，生成相应的文本。",
+        theme="default"
+    )
+    return interface
+
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()
+
+