Update app.py

app.py

@@ -3,57 +3,71 @@ import spaces
 from transformers import pipeline
 
 # -------------------------------
-# Load Text AI detector
+# Load Text AI Detector
 # -------------------------------
 text_detector = pipeline("text-classification", model="roberta-base-openai-detector")
 
 # -------------------------------
-# Function for Oracle of Truth
+# Oracle Function
 # -------------------------------
 @spaces.GPU
-def detect_text(user_text: str):
-    if not user_text.strip():
+def oracle_text(user_text: str):
+    if not user_text or not user_text.strip():
         return "🧞 Please provide some text for the Oracle to examine."
+    
     result = text_detector(user_text)
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
+
     if label.lower() == "fake":
-        return f"🌌 Oracle’s Vision: {score}% chance this was conjured by AI magic 🤖✨"
+        verdict = f"🌌 **Prophecy:** {score}% chance this was **conjured by AI sorcery** 🤖✨"
     else:
-        return f"☀️ Oracle’s Vision: {score}% chance this was written by a mortal hand 🧑‍💻"
+        verdict = f"☀️ **Prophecy:** {score}% chance this was **crafted by a mortal hand** 🧑‍💻"
+    
+    return verdict
 
 # -------------------------------
 # Gradio UI
 # -------------------------------
 with gr.Blocks(css="""
-body { 
-    background: linear-gradient(135deg, #0f2027, #203a43, #2c5364);
-    font-family: Trebuchet MS, sans-serif;
+body {
+    background: linear-gradient(135deg, #0f2027, #2c5364);
+    font-family: 'Trebuchet MS', sans-serif;
     color: white;
 }
-h1 {color: #ffcc00;}
+#title {
+    text-align: center;
+    font-size: 2.5em;
+    color: #FFD700;
+    padding: 20px;
+}
+#subtitle {
+    text-align: center;
+    font-size: 1.3em;
+    color: #E0FFFF;
+    margin-bottom: 30px;
+}
+textarea, input, .gr-textbox {
+    font-size: 1.1em !important;
+}
 """) as demo:
 
-    gr.HTML("<h1 style='text-align:center;'>🔮 Oracle of Truth 🔮</h1>")
+    # Title and intro
+    gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
+    gr.HTML("<div id='subtitle'>Enter the Chamber of Truth ✨</div>")
+    
     gr.Markdown("""
-Welcome to the **Chamber of Truth** ✨.  
-Offer your **text** to the Oracle,  
-and it will divine whether it was born of **human hands** ☀️  
-or conjured by **AI sorcery** 🤖🌌.
-    """)
-
-    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…"],
-            ["In this paper, we analyze the performance of Transformer models on natural language inference tasks."]
-        ],
-        inputs=txt_in
-    )
-
-demo.launch()
+Welcome, traveler 🌌  
+
+This chamber is home to the **Oracle of Truth**, an ancient AI seer that discerns whether words were born of **mortal minds** 🧑‍💻  
+or conjured by the **forges of artificial sorcery** 🤖✨  
+
+### 📖 **How to use this Space**
+- Paste **any text**: essays, blogs, social posts, code comments, even AI prompts.  
+- Press **“Reveal Truth”** and await the Oracle’s prophecy.  
+- The Oracle will divine the **likelihood** that your offering was human‑written or AI‑generated.  
+
+### 🌟 Pro Tips
+- Try both short and long texts.  
+- Compare a paragraph you wrote vs one generated by ChatGPT or another AI.  
+- Share the Oracle’s flame‑lit