Update app.py

app.py

@@ -0,0 +1,47 @@
+import time
+import gradio as gr
+from transformers import pipeline
+
+TASK = "NER"
+MODEL_NAME = "dslim/bert-base-NER"
+pipe = pipeline(TASK, model=MODEL_NAME)
+
+MAX_CHARS = 2000
+
+def run(text: str)
+    if text is None or not text.strip():
+        return "Ошибка: пустой ввод.", None, None
+    t0 = time.time()
+    try:
+        result = pipe(text)
+        latency = round((time.time() - t0) * 1000, 1)
+        return "OK", result, f"{latency} ms"
+    except Exception as e:
+        return f"Ошибка: {type(e).__name__}: {e}", None, 
+None
+
+with gr.Blocks() as demo:
+    gr.Markdown(f"""
+    # NLP-приложение (Hugging Face Spaces + Gradio)
+    **Задача:** {TASK}  
+    **Модель:** {MODEL_NAME}
+    """)
+
+    inp = gr.Textbox(label="Введите текст", lines=6, placeholder="Скопируйте сюда текст...")
+    btn = gr.Button("Обработать")
+    status = gr.Textbox(label="Статус")
+    out = gr.JSON(label="Результат модели")
+    latency = gr.Textbox(label="Время ответа")
+
+    btn.click(run, inputs=inp, outputs=[status, out, latency])
+
+    gr.Examples(
+        examples=[
+            ["I love this product! It works great."],
+            ["This is the worst experience ever."],
+            ["It's okay, nothing special."]
+        ],
+        inputs=inp
+    )
+
+demo.launch()