Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
@@ -1,18 +1,17 @@
|
|
1 |
-
import
|
|
|
2 |
|
3 |
-
|
4 |
-
if wikipedia_language:
|
5 |
-
wikipedia.set_lang(wikipedia_language)
|
6 |
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
|
|
|
|
12 |
|
13 |
-
|
14 |
|
15 |
-
|
16 |
-
|
17 |
-
demo = gr.Interface(fn=wikipediaScrap, inputs=["text", "text"], outputs=["text", "text", "text", "text"], title="Wikipedia Scrap", examples=examples)
|
18 |
demo.launch()
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import pipeline
|
3 |
|
4 |
+
classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
|
|
|
|
|
5 |
|
6 |
+
def zeroShotClassification(text_input, candidate_labels):
|
7 |
+
labels = [label.strip(' ') for label in candidate_labels.split(',')]
|
8 |
+
output = {}
|
9 |
+
prediction = classifier(text_input, labels)
|
10 |
+
for i in range(len(prediction['labels'])):
|
11 |
+
output[prediction['labels'][i]] = prediction['scores'][i]
|
12 |
+
return output
|
13 |
|
14 |
+
examples = [["One day I will see the world", "travel, live, die, future"]]
|
15 |
|
16 |
+
demo = gr.Interface(fn=zeroShotClassification, inputs=["text", "text"], outputs="label", title="Text Classification", examples=examples)
|
|
|
|
|
17 |
demo.launch()
|