Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-title: Sentiment Analysis
+title: Structured Sentiment Analysis for Norwegian
 emoji: 🤔
 colorFrom: purple
 colorTo: yellow
@@ -8,23 +8,3 @@ sdk_version: 3.1.7
 app_file: app.py
 pinned: false
 ---
-
-This space provides a gradio demo of a [pretrained model](https://huggingface.co/ltg/ssa-perin) (with an easy-to-run wrapper) for structured sentiment analysis (SSA) of Norwegian text, trained on the [NoReC_fine](https://github.com/ltgoslo/norec_fine) dataset. It implements a method described in the paper [Direct parsing to sentiment graphs](https://aclanthology.org/2022.acl-short.51/) by Samuel et al. 2022.
-
-The model will attempt to identify the following components for a given sentence it deems to be sentiment-bearing: _source expressions_ (the opinion holder), _target expressions_ (what the opinion is directed towards), _polar expressions_ (the part of the text indicating that an opinion is expressed), and finally the _polarity_ (positive or negative).
-
-See the code below for an example of how you can use the model yourself for predicting such sentiment tuples (along with character offsets in the text):
-
-```python
->>> import model_wrapper
->>> model = model_wrapper.PredictionModel()
->>> model.predict(['vi liker svart kaffe'])
-[{'sent_id': '0',
-  'text': 'vi liker svart kaffe',
-  'opinions': [{'Source': [['vi'], ['0:2']],
-    'Target': [['svart', 'kaffe'], ['9:14', '15:20']],
-    'Polar_expression': [['liker'], ['3:8']],
-    'Polarity': 'Positive'}]}]
-```
-
-To download the model and find more in-depth documentation, please see (https://huggingface.co/ltg/ssa-perin)[https://huggingface.co/ltg/ssa-perin]