catch dataset saver exception

README.md

@@ -4,7 +4,7 @@ emoji: 🏆
 colorFrom: green
 colorTo: purple
 sdk: gradio
-sdk_version: 4.25.0
+sdk_version: 4.29.0
 app_file: app.py
 pinned: false
 license: cc-by-4.0

app.py

@@ -38,15 +38,19 @@ CUSTOM_CSS = """
 }
 """
 
-HF_TOKEN = os.getenv("HF_TOKEN")
-request_logger = (
-    gradio.HuggingFaceDatasetSaver(
-        HF_TOKEN,
-        "sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus",
+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()
     )
-    if HF_TOKEN
-    else gradio.CSVLogger()
-)
+except Exception as e:
+    request_logger = gradio.CSVLogger()
+    print(f"Error in setting up HuggingFaceDatasetSaver: {e}")
 
 translation_model = slt.models.ConcatenativeSynthesis("ur", "pk-sl", "video")
 language_models: Dict[str, slt.models.BeamSampling] = {}
@@ -127,7 +131,11 @@ 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)
+    gradio.Markdown(
+        DESCRIPTION + f"\n\n<sub>Error in setting up HuggingFaceDatasetSaver: {e}<sub/>"
+        if not isinstance(request_logger, gradio.HuggingFaceDatasetSaver)
+        else ""
+    )
     with gradio.Row():  # Inputs and Outputs
         with gradio.Column():  # Inputs
             gradio.Markdown("## Input Text")