Update app.py

app.py

@@ -1,56 +1,56 @@
-# import gradio as gr
-# import time  # 模拟处理耗时
-
-# def process_api(input_text):
-#     # 这里编写实际的后端处理逻辑
-
-#     return {
-#         "status": "success",
-#         "result": f"Processed: {input_text.upper()}",
-#         "timestamp": time.time()
-#     }
-
-# # 设置API格式为JSON
-# gr.Interface(
-#     fn=process_api,
-#     inputs="text",
-#     outputs="json",
-#     title="Backend API",
-#     allow_flagging="never"
-# ).launch()
-
-
 import gradio as gr
-import spacy
-from spacy import displacy
-import pandas as pd
-import time
-
-nlp = spacy.load("en_core_web_md")
-HTML_WRAPPER = "<div style='padding: 10px;'>{}</div>"
-
-def show_spatial_ent_table(doc):
-    rows = []
-    for i, ent in enumerate(doc.ents):
-        rows.append(f"<tr><td>{i+1}</td><td>{ent.text}</td><td>{ent.label_}</td></tr>")
-    table_html = "<table border='1'><tr><th>Index</th><th>Entity</th><th>Label</th></tr>" + "".join(rows) + "</table>"
-    return table_html
+import time  # 模拟处理耗时
 
 def process_api(input_text):
-    doc = nlp(input_text)
-    html_ent = displacy.render(doc, style="ent")
-    html_ent = HTML_WRAPPER.format(html_ent.replace("\n", ""))
-    html_table = show_spatial_ent_table(doc)
-    final_html = html_ent + "<br>" + html_table
+    # 这里编写实际的后端处理逻辑
+
     return {
-        "data": [{"html": final_html}],
+        "status": "success",
+        "result": f"Processed: {input_text.upper()}",
         "timestamp": time.time()
     }
 
+# 设置API格式为JSON
 gr.Interface(
     fn=process_api,
     inputs="text",
     outputs="json",
-    allow_flagging="never",
-    title="Backend API"
+    title="Backend API",
+    allow_flagging="never"
 ).launch()
+
+
+# import gradio as gr
+# import spacy
+# from spacy import displacy
+# import pandas as pd
+# import time
+
+# nlp = spacy.load("en_core_web_md")
+# HTML_WRAPPER = "<div style='padding: 10px;'>{}</div>"
+
+# def show_spatial_ent_table(doc):
+#     rows = []
+#     for i, ent in enumerate(doc.ents):
+#         rows.append(f"<tr><td>{i+1}</td><td>{ent.text}</td><td>{ent.label_}</td></tr>")
+#     table_html = "<table border='1'><tr><th>Index</th><th>Entity</th><th>Label</th></tr>" + "".join(rows) + "</table>"
+#     return table_html
+
+# def process_api(input_text):
+#     doc = nlp(input_text)
+#     html_ent = displacy.render(doc, style="ent")
+#     html_ent = HTML_WRAPPER.format(html_ent.replace("\n", ""))
+#     html_table = show_spatial_ent_table(doc)
+#     final_html = html_ent + "<br>" + html_table
+#     return {
+#         "data": [{"html": final_html}],
+#         "timestamp": time.time()
+#     }
+
+# gr.Interface(
+#     fn=process_api,
+#     inputs="text",
+#     outputs="json",
+#     allow_flagging="never",
+#     title="Backend API"
+# ).launch()