Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load both models
+# Load models
 bias_detector = pipeline("text-classification", model="himel7/bias-detector")
 bias_type_classifier = pipeline("text-classification", model="maximuspowers/bias-type-classifier")
 
@@ -12,11 +12,7 @@ def detect_bias_and_type(text):
 
     if label == "LABEL_1":  # Biased
         type_result = bias_type_classifier(text)[0]
-        bias_type = type_result['label']
-        type_score = type_result['score']
-        return (f"🧐 **Bias Detected!**\n"
-                f"- **Bias Probability:** {score:.2%}\n"
-                f"- **Bias Type:** {bias_type} (Confidence: {type_score:.2%})")
+        return f"🧐 **Bias Detected!**\n- Bias Probability: {score:.2%}\n- Bias Type: {type_result['label']} ({type_result['score']:.2%})"
     else:
         return f"✅ **Unbiased** (Confidence: {score:.2%})"
 
@@ -37,20 +33,28 @@ badges_html = """
 </p>
 """
 
-# Gradio UI
-iface = gr.Interface(
-    fn=detect_bias_and_type,
-    inputs=gr.Textbox(lines=3, placeholder="Enter a sentence..."),
-    outputs="markdown",
-    title="Bias Analyser",
-    description=badges_html,
-    #("This tool detects whether a text is biased and classifies the type of bias.\n"),
-    examples=[
-        ["The brilliant leader saved the country from disaster."],
-        ["The government announced new tax reforms."],
-        ["The selfish billionaire hoarded his wealth."]
-    ]
-)
+with gr.Blocks() as demo:
+    # Render badges using HTML (not escaped)
+    gr.HTML(badges_html)
+
+    gr.Markdown("## Bias Analyzer")
+    gr.Markdown("Enter a sentence to detect bias and its type.")
+
+    text_input = gr.Textbox(lines=3, placeholder="Enter a sentence...")
+    output = gr.Markdown()
+
+    btn = gr.Button("Analyze")
+    btn.click(detect_bias_and_type, inputs=text_input, outputs=output)
+
+    # Examples
+    gr.Examples(
+        examples=[
+            ["The brilliant leader saved the country from disaster."],
+            ["The government announced new tax reforms."],
+            ["The selfish billionaire hoarded his wealth."]
+        ],
+        inputs=text_input
+    )
 
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()