Update app.py

app.py

@@ -1,52 +1,55 @@
-# Necessary imports
-import gradio as gr
-from src.modernbert.classifier import ZeroShotTextClassification
-
-
-# Examples to display in the interface
-examples = [
-    [
-        "I have a problem with my iPhone that needs to be resolved asap!",
-        "urgent, not urgent, phone, tablet, computer",
-        False,
-    ],
-    [
-        "Angela Merkel is a politician in Germany and leader of the CDU",
-        "politics, economy, entertainment, environment",
-        False,
-    ],
-    [
-        "Hi, I recently bought a device from your company but it is not working as advertised and I would like to get reimbursed!",
-        "refund, legal, faq",
-        True,
-    ],
-]
-
-# Title and description and article for the interface
-title = "Zero Shot Text Classification"
-description = "Classify text using zero-shot classification with ModernBERT-large zeroshot model! Provide a text input and a list of candidate labels separated by commas. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2412.13663' target='_blank'>Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference</a> | <a href='https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0' target='_blank'>Model Page</a></p>"
-
-
-# Launch the interface
-demo = gr.Interface(
-    fn=ZeroShotTextClassification,
-    inputs=[
-        gr.Textbox(label="Input", placeholder="Enter text to classify"),
-        gr.Textbox(
-            label="Candidate Labels",
-            placeholder="Enter candidate labels separated by commas",
-        ),
-        gr.Checkbox(label="Multi-Label", value=False),
-    ],
-    outputs=gr.Label(label="Classification"),
-    title=title,
-    description=description,
-    article=article,
-    examples=examples,
-    cache_examples=True,
-    cache_mode="lazy",
-    theme="Soft",
-    flagging_mode="never",
-)
-demo.launch(debug=False)
+# Necessary imports
+import warnings
+warnings.filterwarnings("ignore")
+
+import gradio as gr
+from src.modernbert.classifier import ZeroShotTextClassification
+
+
+# Examples to display in the interface
+examples = [
+    [
+        "I have a problem with my iPhone that needs to be resolved asap!",
+        "urgent, not urgent, phone, tablet, computer",
+        False,
+    ],
+    [
+        "Angela Merkel is a politician in Germany and leader of the CDU",
+        "politics, economy, entertainment, environment",
+        False,
+    ],
+    [
+        "Hi, I recently bought a device from your company but it is not working as advertised and I would like to get reimbursed!",
+        "refund, legal, faq",
+        True,
+    ],
+]
+
+# Title and description and article for the interface
+title = "Zero Shot Text Classification"
+description = "Classify text using zero-shot classification with ModernBERT-large zeroshot model! Provide a text input and a list of candidate labels separated by commas. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2412.13663' target='_blank'>Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference</a> | <a href='https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0' target='_blank'>Model Page</a></p>"
+
+
+# Launch the interface
+demo = gr.Interface(
+    fn=ZeroShotTextClassification,
+    inputs=[
+        gr.Textbox(label="Input", placeholder="Enter text to classify"),
+        gr.Textbox(
+            label="Candidate Labels",
+            placeholder="Enter candidate labels separated by commas",
+        ),
+        gr.Checkbox(label="Multi-Label", value=False),
+    ],
+    outputs=gr.Label(label="Classification"),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    cache_examples=True,
+    cache_mode="lazy",
+    theme="Soft",
+    flagging_mode="never",
+)
+demo.launch(debug=False)