| import gradio as gr |
|
|
| def detect_lie(text): |
| if not text.strip(): |
| return "⚠️ Please enter a statement." |
|
|
| text_lower = text.lower() |
| words = text.split() |
|
|
| result = "✅ Truthful" |
| confidence = 90 |
| explanation = "The statement appears clear and neutral." |
| color = "#22c55e" |
|
|
| if len(words) > 25: |
| result = "⚠️ Suspicious" |
| confidence = 65 |
| explanation = "Too many details may indicate over-explanation." |
| color = "#f59e0b" |
|
|
| elif "honestly" in text_lower or "trust me" in text_lower: |
| result = "⚠️ Suspicious" |
| confidence = 70 |
| explanation = "Over-justification phrases detected." |
| color = "#f59e0b" |
|
|
| elif any(word in text_lower for word in ["never", "no", "not", "nothing"]): |
| result = "❌ Likely Lie" |
| confidence = 80 |
| explanation = "Negative wording may indicate denial or deception." |
| color = "#ef4444" |
|
|
| return f""" |
| <div style="background:{color}; padding:15px; border-radius:10px; color:white;"> |
| <h2>{result}</h2> |
| <p><b>Confidence:</b> {confidence}%</p> |
| <p><b>Explanation:</b> {explanation}</p> |
| </div> |
| """ |
|
|
| demo = gr.Interface( |
| fn=detect_lie, |
| inputs=gr.Textbox(lines=4, placeholder="Enter your statement..."), |
| outputs=gr.HTML(), |
| title="🕵️ AI Lie Detector", |
| description="Detect whether a statement is truthful, suspicious, or a lie." |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch(server_name="0.0.0.0", server_port=7860) |
