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from sentiment_wrapper import PredictionModel | |
import gradio as gr | |
model = PredictionModel() | |
def predict(text:str): | |
result = model.predict([text])[0] | |
return f'class: {result}' | |
markdown_text = ''' | |
<br> | |
<br> | |
This space provides a gradio demo and an easy-to-run wrapper of the pre-trained model for fine-grained sentiment analysis in Norwegian language, pre-trained on the [NoReC dataset](https://huggingface.co/datasets/norec). | |
The model can be easily used for predicting sentiment as follows: | |
```python | |
from sentiment_wrapper import PredictionModel | |
model = PredictionModel() | |
model.predict(['vi liker svart kaffe']) | |
[2] | |
``` | |
''' | |
with gr.Blocks() as demo: | |
with gr.Row(equal_height=False) as row: | |
text_input = gr.Textbox(label="input") | |
text_output = gr.Textbox(label="output") | |
with gr.Row(scale=4) as row: | |
text_button = gr.Button("submit").style(full_width=True) | |
text_button.click(fn=predict, inputs=text_input, outputs=text_output) | |
gr.Markdown(markdown_text) | |
demo.launch() | |