relocate logging dataset

app.py

@@ -3,16 +3,17 @@ import os
 import gradio
 import sign_language_translator as slt
 
-description = """Enter your text and select languages from the dropdowns, then click Submit to generate a video. [`Repository`](https://github.com/sign-language-translator/sign-language-translator)
+description = """Enter your text and select languages from the dropdowns, then click Submit to generate a video. [`Library Repository`](https://github.com/sign-language-translator/sign-language-translator)
 
-The text is preprocessed, tokenized and rearranged and then each token is mapped to a prerecorded video which are concatenated and returned. [`model code`](https://github.com/sign-language-translator/sign-language-translator/blob/main/sign_language_translator/models/text_to_sign/concatenative_synthesis.py)
+The text is preprocessed, tokenized and rearranged and then each token is mapped to a prerecorded video which are concatenated and returned. [`Model Code`](https://github.com/sign-language-translator/sign-language-translator/blob/main/sign_language_translator/models/text_to_sign/concatenative_synthesis.py)
 
 > NOTE: This model only supports a fixed vocabulary. See the [`*-dictionary-mapping.json`](https://github.com/sign-language-translator/sign-language-datasets/tree/main/parallel_texts) files for supported words."""
 
 HF_TOKEN = os.getenv("HF_TOKEN")
 hf_writer = (
     gradio.HuggingFaceDatasetSaver(
-        HF_TOKEN, "crowdsourced-text-to-sign-language-rule-based-translation-corpus"
+        HF_TOKEN,
+        "sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus",
     )
     if HF_TOKEN
     else None