Add test run

test_run.py

@@ -0,0 +1,33 @@
+from gr_nlp_toolkit import Pipeline
+
+# Use this file only for testing purposes
+
+nlp_pos_ner_dp = Pipeline(
+    "pos,ner,dp"
+)  # Instantiate the Pipeline with the DP, POS and NER processors
+doc_pos_ner_dp = nlp_pos_ner_dp(
+    "Η Αργεντινή κέρδισε το Παγκόσμιο Κύπελλο το 2022"
+)  # Apply the pipeline to a sentence in Greek
+
+
+# Iterate over the generated tokens
+for token in doc_pos_ner_dp.tokens:
+    print(
+        f"Text: {token.text},"
+        f" NER: {token.ner},"  # Print the NER value of the token
+        f" UPOS: {token.upos}, "  # UPOS
+        f" Morphological Features: {token.feats}, Head: {token.head},"
+        f" Deprel: {token.deprel}"
+        "\n---"
+    )
+
+
+nlp_g2g = Pipeline("g2g")  # Instantiate the Pipeline with the G2G processor
+
+doc_g2g = nlp_g2g(
+    "h thessaloniki einai mia poli sti boreia ellada"
+)  # Apply the pipeline to a sentence in Greek
+for token in doc_g2g.tokens:
+    # Gather all the token.text values and join them with a space
+    transliterated_text = " ".join([token.text for token in doc_g2g.tokens])
+print(transliterated_text)  # Print the transliterated text