Create app.py

Add app.py and requirements.txt

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+generator = pipeline("text-generation", model="jinv2/finetuned-zhengding-tourism", device=-1)
+
+def predict(input_text):
+    if not input_text.endswith('\n'):
+        input_text += '\n'
+    output = generator(
+        f"用户: {input_text}",
+        max_length=200,
+        num_return_sequences=1,
+        do_sample=True,
+        temperature=0.7,
+        top_k=50,
+        top_p=0.95,
+        pad_token_id=generator.tokenizer.pad_token_id,
+        eos_token_id=generator.tokenizer.eos_token_id
+    )[0]["generated_text"]
+    return output
+
+interface = gr.Interface(fn=predict, inputs="text", outputs="text", title="正定旅游助手")
+interface.launch(server_name="0.0.0.0", server_port=7860)