Spaces:
Sleeping
Sleeping
Add application file
Browse files
app.py
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import pipeline
|
3 |
+
|
4 |
+
|
5 |
+
def sentiment_analysis(text:str)->str:
|
6 |
+
analysis_tools = pipeline("text-classification", model = "boltuix/bert-emotion",device='cuda')
|
7 |
+
result = analysis_tools(text)
|
8 |
+
|
9 |
+
return f"the label: {result[0]['label']} and the score: {result[0]['score']}"
|
10 |
+
|
11 |
+
|
12 |
+
|
13 |
+
demo = gr.Interface(fn = sentiment_analysis,
|
14 |
+
inputs=['text'],
|
15 |
+
outputs = ['text'],
|
16 |
+
title="Emotion Detection",
|
17 |
+
description="Based on the bert-emotion to detect the emotion in your text",
|
18 |
+
examples=[
|
19 |
+
['I hate you'],
|
20 |
+
['You are so kind'],
|
21 |
+
['我想我们可以在一起']
|
22 |
+
]
|
23 |
+
)
|
24 |
+
|
25 |
+
demo.launch()
|