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README.md

@@ -1,12 +1,6 @@
 ---
-title: Test
-emoji: 🐢
-colorFrom: red
-colorTo: red
+title: test
+app_file: demo.py
 sdk: gradio
 sdk_version: 4.40.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

demo.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "f:\\miniconda\\envs\\transformers\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n",
+      "f:\\miniconda\\envs\\transformers\\lib\\site-packages\\transformers\\deepspeed.py:24: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations\n",
+      "  warnings.warn(\n",
+      "f:\\miniconda\\envs\\transformers\\lib\\site-packages\\torchaudio\\backend\\utils.py:62: UserWarning: No audio backend is available.\n",
+      "  warnings.warn(\"No audio backend is available.\")\n"
+     ]
+    }
+   ],
+   "source": [
+    "from transformers import *"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "transformers",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

demo.py

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+import gradio as gr
+from transformers import pipeline
+
+# 创建一个pipeline对象，并指定使用GPU（设备编号为0）
+qa_pipeline = pipeline("question-answering", model="uer/roberta-base-chinese-extractive-qa", device=0)
+
+# 使用该pipeline创建Gradio接口并启动
+interface = gr.Interface.from_pipeline(qa_pipeline)
+interface.launch(share=True, server_name="0.0.0.0", server_port=8911)

flagged/log.csv

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+Context,Question,Answer,Score,flag,username,timestamp
+中国的首都是北京,中国的是首都是？,,"{""label"": null, ""confidences"": null}",,,2024-08-07 17:25:25.619859
+我是人,我是？,,"{""label"": null, ""confidences"": null}",,,2024-08-07 17:47:36.671893

requirements.txt

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+y
+y
+y

testvalble.py

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+import torch
+print(torch.__version__)