Delete app.py.txt

app.py.txt

@@ -1,40 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-
-# Load zero-shot classification pipeline
-classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
-
-# Labels to classify as AI-written or Human-written
-labels = ["AI-generated text", "Human-written text"]
-
-def detect_ai_content(text):
-    result = classifier(text, labels)
-    scores = dict(zip(result["labels"], result["scores"]))
-    ai_score = scores["AI-generated text"]
-    human_score = scores["Human-written text"]
-    
-    if ai_score > human_score:
-        verdict = "⚠️ This text looks AI-Generated"
-    else:
-        verdict = "✅ This text looks Human-Written"
-
-    return {
-        "AI Probability": f"{ai_score:.2%}",
-        "Human Probability": f"{human_score:.2%}",
-        "Verdict": verdict
-    }
-
-# Gradio Interface
-demo = gr.Interface(
-    fn=detect_ai_content,
-    inputs=gr.Textbox(lines=10, placeholder="Paste text here..."),
-    outputs=[
-        gr.Label(num_top_classes=2, label="Probabilities"),
-        gr.Textbox(label="Verdict")
-    ],
-    title="AI Content Detector",
-    description="Detect whether the given text is AI-generated or Human-written."
-)
-
-if __name__ == "__main__":
-    demo.launch()