Update app.py

app.py

@@ -3,19 +3,13 @@ import spaces
 from transformers import pipeline
 
 # -------------------------------
-# Load lightweight AI detection models
+# Load Text AI detector
 # -------------------------------
-
-# Text AI detector
 text_detector = pipeline("text-classification", model="roberta-base-openai-detector")
 
-# Image AI detector
-image_detector = pipeline("image-classification", model="oripress/ai-image-detector")
-
 # -------------------------------
-# Functions for Oracle of Truth
+# Function for Oracle of Truth
 # -------------------------------
-
 @spaces.GPU
 def detect_text(user_text: str):
     if not user_text.strip():
@@ -28,55 +22,38 @@ def detect_text(user_text: str):
     else:
         return f"☀️ Oracle’s Vision: {score}% chance this was written by a mortal hand 🧑‍💻"
 
-@spaces.GPU
-def detect_image(user_img):
-    if user_img is None:
-        return "🖼️ Please upload an image for the Oracle to divine."
-    result = image_detector(user_img)
-    label = result[0]['label']
-    score = round(result[0]['score'] * 100, 2)
-    return f"🌠 Oracle’s Gaze: {score}% chance this is {label}."
-
 # -------------------------------
 # Gradio UI
 # -------------------------------
 with gr.Blocks(css="""
 body { 
-    background: linear-gradient(135deg, #0f2027, #203a43, #2c5364); 
+    background: linear-gradient(135deg, #0f2027, #203a43, #2c5364);
     font-family: Trebuchet MS, sans-serif;
     color: white;
 }
-h1, h2, h3 { color: #ffcc00; }
+h1 {color: #ffcc00;}
 """) as demo:
 
     gr.HTML("<h1 style='text-align:center;'>🔮 Oracle of Truth 🔮</h1>")
     gr.Markdown("""
 Welcome to the **Chamber of Truth** ✨.  
-Offer your **text** or **image** to the Oracle,  
+Offer your **text** to the Oracle,  
 and it will divine whether it was born of **human hands** ☀️  
 or conjured by **AI sorcery** 🤖🌌.
     """)
 
-    with gr.Tab("📜 Text Divination"):
-        txt_in = gr.Textbox(label="Enter Text", lines=5, placeholder="Paste some text here...")
-        btn_txt = gr.Button("🔍 Ask the Oracle")
-        txt_out = gr.Textbox(label="Oracle's Verdict", lines=4)
-        btn_txt.click(detect_text, inputs=txt_in, outputs=txt_out)
-
-    with gr.Tab("🖼️ Image Divination"):
-        img_in = gr.Image(type="filepath", label="Upload an Image")
-        btn_img = gr.Button("🔍 Ask the Oracle")
-        img_out = gr.Textbox(label="Oracle's Verdict", lines=2)
-        btn_img.click(detect_image, inputs=img_in, outputs=img_out)
+    txt_in = gr.Textbox(label="Your Text", lines=5, placeholder="Paste any text here…")
+    btn_txt = gr.Button("🔍 Ask the Oracle")
+    txt_out = gr.Textbox(label="Oracle's Verdict", lines=4)
+    btn_txt.click(detect_text, inputs=txt_in, outputs=txt_out)
 
     # Preloaded examples
     gr.Examples(
         examples=[
-            ["Once upon a time in a galaxy far away, a hero rose against the odds."],
+            ["Once upon a time in a galaxy far away…"],
             ["In this paper, we analyze the performance of Transformer models on natural language inference tasks."]
         ],
-        inputs=txt_in,
-        label="Try sample texts"
+        inputs=txt_in
     )
 
 demo.launch()