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app.py

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+#pip install "modelscope[cv]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+#pip install gradio
+#pip install tensorflow
+#requirements.txt中包含以下依赖库：
+#protobuf==3.20.0
+#transformers==4.27.1
+#icetk
+#cpm_kernels
+
+import gradio as gr
+import os
+
+os.system(
+    'pip install --upgrade torch'
+)
+
+ os.system(
+     'pip install "modelscope" --upgrade -f https://pypi.org/project/modelscope/'
+ )
+
+os.system('pip install transformers -U')
+
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+
+#pipe = pipeline(Tasks.text_generation, model='damo/nlp_gpt3_text-generation_13B')
+# pipe = pipeline(task=Tasks.chat, model='ZhipuAI/ChatGLM-6B', model_revision='v1.0.16', device_map='auto')
+pipe = pipeline(task=Tasks.chat, model='ZhipuAI/chatglm2-6b', model_revision='v1.0.2', device_map='auto')
+# import torch
+# model = torch.hub.load('ZhipuAI', 'chatglm2-6b', offload_folder='/root/.cache/modelscope/hub')
+# pipe = pipeline(task=Tasks.chat, model=model, model_revision='v1.0.2',device_map='auto')
+
+def text_generation(prompt: str, style: str) -> str:
+  prompt = '以“' + prompt + '”为主题，撰写一段' + style + '，字数在100字左右'
+  print('功能：' + style + '，提示文案：' + prompt)
+
+#  result = pipe(prompt)
+
+  inputs = {'text':prompt, 'history': []}
+  result = pipe(inputs)
+
+#  print('生成文案：' + result['text'])
+  print('生成文案：' + result['response'])
+
+#  return result['text']
+  return result['response']
+
+
+css_style = "#fixed_size_img {height: 240px;} "
+
+title = "AI文案 by宁侠"
+description = '''
+本服务的主要应用场景涵盖多种文案输入生成和续写，例如用户可以自行输入各种内容，之后服务将会对其进行回答、续写或者按照指令进行回复。
+'''
+
+with gr.Blocks(title=title, css=css_style) as demo:
+    gr.HTML('''
+      <div style="text-align: center; max-width: 720px; margin: 0 auto;">
+                  <div
+                    style="
+                      display: inline-flex;
+                      align-items: center;
+                      gap: 0.8rem;
+                      font-size: 1.75rem;
+                    "
+                  >
+                    <h1 style="font-family: PingFangSC; font-weight: 500; line-height: 1.5em; font-size: 32px; margin-bottom: 7px;">
+                      AI文案
+                    </h1>
+                    <h1 style="font-family: PingFangSC; font-weight: 500; line-height: 1.5em; font-size: 16px; margin-bottom: 7px;">
+                      by宁侠
+                    </h1>
+                  </div>
+                </div>
+      ''')
+
+    gr.Markdown(description)
+    with gr.Row():
+#        radio_style = gr.Radio(label="模型选择", choices=["中文-base", "中文-large", "中文-1.3B", "中文-2.7B", "中文-13B", "中文-30B", "广告文案", "夸夸机器人", "诗词创作", "作文创作"], value="中文-base")
+        radio_style = gr.Radio(label="功能选择", choices=["小红书笔记", "小红书标题", "公众号文案", "朋友圈微商文案", "商品卖点", "商品描述", "商品种草文案", "商品好评", "广告标题", "创意广告", "产品起名", "视频拍摄剧本", "短视频口播稿", "直播脚本", "短视频拍摄提纲", "SEO文章", "产品slogan", "夸夸机器人", "诗词创作", "作文创作"], value="小红书笔记")
+    with gr.Row():
+        text_input = gr.Textbox(label="提示文案", value="探索西夏：沙漠风情与多元文化的西北之旅")
+        text_output = gr.Textbox(label="AI创作")
+    with gr.Row():
+        btn_submit = gr.Button(value="一键创作", elem_id="blue_btn")
+        # btn_clear = gr.Button(value="清除")
+
+#    examples = gr.Examples(["以“个性iPhone手机壳”为主题，撰写一段朋友圈微商文案，字数在100字左右", "美化这句话：本服务主要应用于多种场景文案输入的生成和续写，比如用户可以自行尝试输入各种内容，然后让服务去回答、续写或者根据指令回复。"], inputs=[text_input], outputs=text_output)
+    examples = gr.Examples(["探索西夏：沙漠风情与多元文化的西北之旅", "个性iPhone手机壳"], inputs=[text_input], outputs=text_output)
+    btn_submit.click(text_generation, inputs=[text_input, radio_style], outputs=text_output)
+    # btn_clear清除画布
+
+demo.queue(api_open=False).launch(debug=True)