clean up

app.py

@@ -42,39 +42,15 @@ CUSTOM_CSS = """
 }
 """
 
-try:
-    HF_TOKEN = os.getenv("HF_TOKEN")
-    request_logger = (
-        gradio.HuggingFaceDatasetSaver(
-            HF_TOKEN,
-            "sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus",
-        )
-        if HF_TOKEN
-        else gradio.CSVLogger()
+HF_TOKEN = os.getenv("HF_TOKEN")
+request_logger = (
+    gradio.HuggingFaceDatasetSaver(
+        HF_TOKEN,
+        "sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus",
     )
-    request_logger.setup(
-        [
-            gradio.Markdown(label="Spoken Language Sentence"),
-            gradio.Markdown(label="Text Language"),
-            gradio.Markdown(label="Sign Language"),
-            gradio.Markdown(label="Exception"),
-            gradio.Markdown(label="Timestamp"),
-        ],
-        "flagged",
-    )
-    request_logger = (
-        gradio.HuggingFaceDatasetSaver(
-            HF_TOKEN,
-            "sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus",
-        )
-        if HF_TOKEN
-        else gradio.CSVLogger()
-    )
-    eroor_mesg = ""
-except Exception as e:
-    request_logger = gradio.CSVLogger()
-    eroor_mesg = f"Error in setting up HuggingFaceDatasetSaver: {e}"
-    print(eroor_mesg)
+    if HF_TOKEN
+    else gradio.CSVLogger()
+)
 
 translation_model = slt.models.ConcatenativeSynthesis("ur", "pk-sl", "video")
 language_models: Dict[str, slt.models.BeamSampling] = {}
@@ -167,11 +143,7 @@ def translate(text: str, text_lang: str, sign_lang: str, sign_format: str):
 
 with gradio.Blocks(title=TITLE, head=CUSTOM_JS, css=CUSTOM_CSS) as gradio_app:
     gradio.Markdown(f"# {TITLE}")
-    gradio.Markdown(
-        DESCRIPTION + f"\n\n<sub>{eroor_mesg}<sub/>"
-        if not isinstance(request_logger, gradio.HuggingFaceDatasetSaver)
-        else ""
-    )
+    gradio.Markdown(DESCRIPTION)
     with gradio.Row(elem_classes=["reverse-row"]):  # Inputs and Outputs
         with gradio.Column():  # Outputs
             gradio.Markdown("## Output Sign Language")