Spaces:
Sleeping
Sleeping
Commit
Β·
b65cb21
1
Parent(s):
2ab3c91
set share as true
Browse files
app.py
CHANGED
@@ -58,6 +58,7 @@ title = 'Sentiment Analysis π€£π±π‘π’'
|
|
58 |
description = "The sentiment analysis model is a deep learning-based natural language processing (NLP) model designed to analyze and classify the sentiment expressed in text data. It is trained to understand the emotional tone of text and categorize it into predefined sentiment categories such as <b>anger, fear, sadness, and joy.<b><br><br>\
|
59 |
<b>WARNING:</b> Your input will be saved for improving model accuracy. If you believe the model's prediction is incorrect, please click the 'Flag' button.<br>\
|
60 |
<b>Tip:</b> If you assume the output is incorrect, click the 'Flag' button to notify us."
|
|
|
61 |
demo = gr.Interface(fn=predict,
|
62 |
inputs=inputs,
|
63 |
outputs=outputs,
|
@@ -65,4 +66,4 @@ demo = gr.Interface(fn=predict,
|
|
65 |
description=description,
|
66 |
examples=example_list,
|
67 |
allow_flagging=True)
|
68 |
-
demo.launch()
|
|
|
58 |
description = "The sentiment analysis model is a deep learning-based natural language processing (NLP) model designed to analyze and classify the sentiment expressed in text data. It is trained to understand the emotional tone of text and categorize it into predefined sentiment categories such as <b>anger, fear, sadness, and joy.<b><br><br>\
|
59 |
<b>WARNING:</b> Your input will be saved for improving model accuracy. If you believe the model's prediction is incorrect, please click the 'Flag' button.<br>\
|
60 |
<b>Tip:</b> If you assume the output is incorrect, click the 'Flag' button to notify us."
|
61 |
+
|
62 |
demo = gr.Interface(fn=predict,
|
63 |
inputs=inputs,
|
64 |
outputs=outputs,
|
|
|
66 |
description=description,
|
67 |
examples=example_list,
|
68 |
allow_flagging=True)
|
69 |
+
demo.launch(share= True)
|