Update app.py

app.py

@@ -1,36 +1,14 @@
-
 import gradio as gr
 from transformers import pipeline
 
 clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
 
-@gr.api()  # 👈 this enables the /run/predict route!
-def detect_ai(text: str):
-    result = clf(text)[0]
-    label = result['label']
-    score = round(result['score'] * 100, 2)
-    return f"{label} ({score}%)"
-
-demo = gr.Interface(fn=detect_ai, inputs="textbox", outputs="text", title="AI Text Detector")
-demo.launch()
-
-# Load the model
-clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
-
-# Define detection function
-def detect_ai(text):
-    result = clf(text)[0]
-    label = result['label']
-    score = round(result['score'] * 100, 2)
-    return f"{label} ({score}%)"
-
-# Build the interface
-demo = gr.Interface(
-    fn=detect_ai,
-    inputs="textbox",
-    outputs="text",
-    title="AI Text Detector"
-)
+with gr.Blocks() as demo:
+    @gr.api()
+    def detect_ai(text: str):
+        result = clf(text)[0]
+        label = result['label']
+        score = round(result['score'] * 100, 2)
+        return f"{label} ({score}%)"
 
-# Launch the app
 demo.launch()