Update app.py

app.py

@@ -1,4 +1,19 @@
-import streamlit as st
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+# โหลด Tokenizer และ Model
+model_name = "dbmdz/bert-large-cased-finetuned-conll03-english"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForTokenClassification.from_pretrained(model_name)
+
+# สร้าง NER Pipeline
+ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)
+
+# ฟังก์ชันที่รับข้อความและทำการวิเคราะห์
+def analyze_text(text):
+    ner_results = ner_pipeline(text)
+    return [(entity['word'], entity['entity'], entity['score']) for entity in ner_results]
+
+# สร้าง UI ด้วย Gradio
+iface = gr.Interface(fn=analyze_text, inputs="text", outputs="dataframe", title="NER Analysis App")
+iface.launch()