Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load FLAN-T5 pipeline
+classifier = pipeline("text2text-generation", model="google/flan-t5-base", max_length=32)
+
+# Prompt template
+def classify_bias(headline):
+    prompt = f"Classify the political bias of this headline as Left, Center, or Right: '{headline}'"
+    output = classifier(prompt)[0]['generated_text'].strip()
+    return output
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# 🧠 BiasLens – Political Bias Detector")
+    gr.Markdown("Enter a news headline to detect whether it's Left, Center, or Right biased.")
+
+    headline_input = gr.Textbox(label="📰 Enter News Headline", placeholder="e.g. Biden signs climate bill")
+    result_output = gr.Textbox(label="🧭 Predicted Bias")
+
+    classify_btn = gr.Button("Classify Bias")
+
+    classify_btn.click(fn=classify_bias, inputs=[headline_input], outputs=[result_output])
+
+demo.launch()