Update app.py

app.py

@@ -1,71 +1,39 @@
 import gradio as gr
 import random
 
-# Dummy backend logic – replace with your model logic later
-def detect_ai_likeness(text):
-    score = random.uniform(0.3, 0.95)
-    return f"AI-likeness score: {score:.2f} ({'Likely Human' if score < 0.5 else 'Likely AI'})"
-
-def refine_text(text, tone, translate):
-    # Simulated tone conversion
-    if tone == "Academic":
-        refined = f"In academic tone: {text}"
-    elif tone == "Professional":
-        refined = f"As a professional: {text}"
-    elif tone == "Conversational":
-        refined = f"Hey! So here it is: {text}"
-    else:
-        refined = text
-
-    # Simulated translation
-    if translate == "Bahasa Malaysia":
-        translated = f"(BM Translation) {refined}"
-    elif translate == "Chinese":
-        translated = f"(中文翻译) {refined}"
-    else:
-        translated = ""
+# Dummy logic (replace with your model later)
+def humanize_and_detect(text):
+    # Simulated refined output
+    refined = f"This is the humanized version of your text:\n\n{text}"
 
-    # AI-likeness
-    ai_result = detect_ai_likeness(refined)
+    # Simulated AI-likeness score
+    score = random.uniform(0.3, 0.95)
+    ai_score = f"AI-likeness score: {score:.2f} ({'Likely Human' if score < 0.5 else 'Likely AI'})"
 
-    return refined, ai_result, translated
+    return refined, ai_score
 
-# Gradio layout
+# Minimal Gradio interface
 with gr.Blocks() as demo:
     gr.Markdown(
         """
-        # 🕌 **Zawiyah AI Collective – Humanizer AI**
-
-        Transforms input into refined **Academic**, **Professional**, or **Conversational** tone.  
-        Also detects **AI-likeness** and can translate to **Bahasa Malaysia** or **Chinese**.
+        # 🕌 Zawiyah AI Collective – Humanizer AI  
+        Refine your writing & detect AI-likeness. Simple, clean, effective.
 
         ---
         """
     )
 
-    with gr.Row():
-        with gr.Column(scale=1):
-            input_text = gr.Textbox(lines=6, label="✍️Enter your text", placeholder="Paste your content here...")
+    input_text = gr.Textbox(label="✍️ Paste Your Text Here", placeholder="Enter text...", lines=6)
 
-            tone = gr.Radio(["Academic", "Professional", "Conversational"], label="🎯 Select Tone", value="Academic")
+    submit_btn = gr.Button("🚀 Refine & Detect")
 
-            translate_to = gr.Radio(["None", "Bahasa Malaysia", "Chinese"], label="🌍 Translate To", value="None")
+    output_refined = gr.Textbox(label="🧠 Humanized Output", lines=6)
+    ai_score = gr.Textbox(label="🤖 AI Detection Result")
 
-            with gr.Row():
-                submit_btn = gr.Button("🚀 Submit")
-                clear_btn = gr.Button("🧹 Clear")
-
-        with gr.Column(scale=1):
-            output_box = gr.Textbox(label=" Refined Output", lines=5)
-            ai_score_box = gr.Textbox(label=" AI Detection Result")
-            translated_box = gr.Textbox(label=" Translated Output", lines=5)
-
-    # Button logic
-    submit_btn.click(fn=refine_text,
-                     inputs=[input_text, tone, translate_to],
-                     outputs=[output_box, ai_score_box, translated_box])
-
-    clear_btn.click(lambda: ("", "", ""), outputs=[output_box, ai_score_box, translated_box])
+    submit_btn.click(fn=humanize_and_detect,
+                     inputs=input_text,
+                     outputs=[output_refined, ai_score])
 
 demo.queue().launch()
 
+