fix: update

app.py

@@ -15,14 +15,13 @@ pipe=pipeline(
 if 'type' not in st.session_state:
     st.session_state.type=""
 
-if 'article' not in st.session_state:
+if 'article_key' not in st.session_state:
     st.session_state.article=""
 
 if 'result' not in st.session_state:
     st.session_state.result=""
 
 def form_article_click():
-
     if st.session_state.article_key == "":
         st.warning("Need to enter content")
     else:
@@ -39,6 +38,8 @@ def form_article_click():
                 st.session_state.type="AI writing"
         st.session_state.result=result
 
+
+st.set_page_config(layout="wide") 
 st.title("AI write or Human write v2")
 
 col1, col2 = st.columns(2)
@@ -53,7 +54,7 @@ with col1:
             key='article_key'
         )
         # 提交按钮
-        submit_button=st.form_submit_button(label='submit', on_click=form_article_click)
+        st.form_submit_button(label='submit', on_click=form_article_click)
 
 with col2:
    st.header("output")

fengx_launch.ipynb

@@ -23,9 +23,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[0m\n",
+      "\u001b[34m\u001b[1m  You can now view your Streamlit app in your browser.\u001b[0m\n",
+      "\u001b[0m\n",
+      "\u001b[34m  Local URL: \u001b[0m\u001b[1mhttp://localhost:8501\u001b[0m\n",
+      "\u001b[34m  Network URL: \u001b[0m\u001b[1mhttp://198.18.0.1:8501\u001b[0m\n",
+      "\u001b[0m\n",
+      "\u001b[34m\u001b[1m  For better performance, install the Watchdog module:\u001b[0m\n",
+      "\n",
+      "  $ xcode-select --install\n",
+      "  $ pip install watchdog\n",
+      "            \u001b[0m\n",
+      "Downloading (…)lve/main/config.json: 100%|██| 1.03k/1.03k [00:00<00:00, 157kB/s]\n",
+      "Downloading pytorch_model.bin: 100%|███████| 1.25G/1.25G [02:28<00:00, 8.41MB/s]\n",
+      "Downloading (…)okenizer_config.json: 100%|█████| 684/684 [00:00<00:00, 93.0kB/s]\n",
+      "Downloading tokenizer.json: 100%|██████████| 17.1M/17.1M [00:03<00:00, 5.11MB/s]\n",
+      "Downloading (…)cial_tokens_map.json: 100%|██████| 280/280 [00:00<00:00, 116kB/s]\n",
+      "hello world\n",
+      "[{'label': 1, 'score': 0.9999076128005981}]\n",
+      "^C\n",
+      "\u001b[34m  Stopping...\u001b[0m\n"
+     ]
+    }
+   ],
    "source": [
     "# 任务：运行本地debug\n",
     "!streamlit run app.py"
@@ -33,21 +60,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Enumerating objects: 6, done.\n",
-      "Counting objects: 100% (6/6), done.\n",
+      "Enumerating objects: 7, done.\n",
+      "Counting objects: 100% (7/7), done.\n",
       "Delta compression using up to 8 threads\n",
       "Compressing objects: 100% (4/4), done.\n",
-      "Writing objects: 100% (4/4), 1.14 KiB | 1.14 MiB/s, done.\n",
-      "Total 4 (delta 1), reused 0 (delta 0), pack-reused 0\n",
+      "Writing objects: 100% (4/4), 592 bytes | 592.00 KiB/s, done.\n",
+      "Total 4 (delta 3), reused 0 (delta 0), pack-reused 0\n",
       "To https://huggingface.co/spaces/rjx/rjxai-ahs-en-v1\n",
-      "   fa3f0b5..48d3495  main -> main\n"
+      "   48d3495..94c8109  main -> main\n"
      ]
     }
    ],