Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,21 +1,25 @@
|
|
1 |
from transformers import pipeline
|
2 |
import gradio as gr
|
3 |
|
4 |
-
classifier = pipeline("sentiment-analysis")
|
5 |
|
6 |
def classify_text(text):
|
7 |
-
result=classifier(text)
|
8 |
-
label=result[0]['label']
|
9 |
-
|
10 |
-
|
11 |
-
|
|
|
|
|
|
|
|
|
12 |
|
13 |
interface = gr.Interface(
|
14 |
fn=classify_text,
|
15 |
-
inputs=gr.Textbox("Write anything(*-_-)"),
|
16 |
outputs="text",
|
17 |
-
title="
|
18 |
-
description="Enter
|
19 |
)
|
20 |
|
21 |
-
interface.launch(debug=True,share=True)
|
|
|
1 |
from transformers import pipeline
|
2 |
import gradio as gr
|
3 |
|
4 |
+
classifier = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-base-sentiment")
|
5 |
|
6 |
def classify_text(text):
|
7 |
+
result = classifier(text)
|
8 |
+
label = result[0]['label']
|
9 |
+
if label == 'LABEL_0':
|
10 |
+
label='Negative'
|
11 |
+
if label == 'LABEL_1':
|
12 |
+
label='Neutral'
|
13 |
+
if label == 'LABEL_2':
|
14 |
+
label='Positive'
|
15 |
+
return f"{label}"
|
16 |
|
17 |
interface = gr.Interface(
|
18 |
fn=classify_text,
|
19 |
+
inputs=gr.Textbox(label="Write anything (*-_-)"),
|
20 |
outputs="text",
|
21 |
+
title="Sentiment Analysis",
|
22 |
+
description="Enter text to check the sentiment (Positive or Negative)."
|
23 |
)
|
24 |
|
25 |
+
interface.launch(debug=True, share=True)
|