Update app.py

app.py

@@ -15,7 +15,7 @@ model = AutoModelForCausalLM.from_pretrained(
 # Humanizer function
 def humanize_text(ai_text):
     if not ai_text.strip():
-        return "⚠️ Please enter some text.", ""
+        return "⚠️ Please enter some text."
     
     # Prompt for rewriting
     prompt = (
@@ -34,38 +34,25 @@ def humanize_text(ai_text):
     )
     humanized = tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-    # Prompt for feedback
-    feedback_prompt = (
-        "Analyze the following text and provide constructive feedback on how it was humanized. "
-        "Highlight improvements and remaining issues:\n\n"
-        f"Original: {ai_text}\n\n"
-        f"Humanized: {humanized}\n\n"
-        "Feedback:"
-    )
-    fb_inputs = tokenizer(feedback_prompt, return_tensors="pt")
-    fb_outputs = model.generate(**fb_inputs, max_new_tokens=250, temperature=0.8, top_p=0.9)
-    feedback = tokenizer.decode(fb_outputs[0], skip_special_tokens=True)
-
-    return humanized, feedback
+    return humanized
 
 # Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("## ✨ AI Text Humanizer with Feedback")
-    gr.Markdown("Paste AI-generated text below, and get a natural, human-like rewrite plus feedback.")
+    gr.Markdown("## ✨ AI Text Humanizer")
+    gr.Markdown("Paste AI-generated text below, and get a natural, human-like rewrite.")
 
     with gr.Row():
         ai_input = gr.Textbox(label="AI-Generated Text", placeholder="Paste your AI text here...", lines=10)
     
     with gr.Row():
         humanized_output = gr.Textbox(label="✅ Humanized Text", lines=10)
-        feedback_output = gr.Textbox(label="💡 Feedback", lines=10)
 
     run_button = gr.Button("🔄 Humanize Now")
 
     run_button.click(
         fn=humanize_text,
         inputs=ai_input,
-        outputs=[humanized_output, feedback_output]
+        outputs=humanized_output
     )
 
 demo.launch()