Update README.md

README.md

@@ -9,4 +9,17 @@ pipeline_tag: text-classification
 
 # greek-court-decision-paragraph-classifier
 
-- TBA
+```python
+model_path = hf_hub_download(repo_id="pprokopidis/greek-admin-court-decisions-paragraph-classifier", filename="20241124-model.ftz")
+sample_decision = hf_hub_download(repo_id="pprokopidis/greek-admin-court-decisions-paragraph-classifier", filename="sample_data/Α2485_2023.txt")
+model = load_model(model_path)
+labels_map =  {'preamble': '__label__0', '__label__0': 'preamble', 'panel': '__label__1', '__label__1': 'panel', 'litigants': '__label__2', '__label__2': 'litigants', 'justification': '__label__3', '__label__3': 'justification', 'decision': '__label__4', '__label__4': 'decision', 'post': '__label__5', '__label__5': 'post'} 
+with open(sample_decision) as inf:
+    text = NL.join([p for p in inf.read().split(NL) if p.strip()])
+nchars = 150
+for line in text.split(NL):
+    pred = labels_map[model.predict(line.strip())[0][0]]
+    if len(line) > nchars:
+        line = line[0:nchars]
+    print(f"{line} -> {pred}")    
+```