Spaces:
Running
Running
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
from transformers import pipeline
|
| 3 |
+
|
| 4 |
+
model_name = "ZombitX64/Thai-sentiment-e5" # เปลี่ยนเป็นชื่อโมเดลของคุณ
|
| 5 |
+
nlp = pipeline("sentiment-analysis", model=model_name)
|
| 6 |
+
|
| 7 |
+
def analyze_text(text):
|
| 8 |
+
result = nlp(text)[0]
|
| 9 |
+
return f"ผลวิเคราะห์: {result['label']} (ความมั่นใจ {result['score']:.2f})"
|
| 10 |
+
|
| 11 |
+
demo = gr.Interface(
|
| 12 |
+
fn=analyze_text,
|
| 13 |
+
inputs=gr.Textbox(lines=3, placeholder="พิมพ์ข้อความที่นี่..."),
|
| 14 |
+
outputs="text",
|
| 15 |
+
title="แอปวิเคราะห์ข้อความภาษาไทย"
|
| 16 |
+
)
|
| 17 |
+
|
| 18 |
+
demo.launch()
|