Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the bias detection model (this can be changed to other models)
+classifier = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-bias")
+
+def analyze_bias(text):
+    result = classifier(text)
+    return f"Bias: {result[0]['label']} (Confidence: {result[0]['score'] * 100:.2f}%)"
+
+# Create a simple Gradio UI
+iface = gr.Interface(fn=analyze_bias, inputs="text", outputs="text")
+iface.launch()