Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, PegasusForConditionalGeneration
+
+# Load the Humaneyes model from Hugging Face
+tokenizer = AutoTokenizer.from_pretrained("Eemansleepdeprived/Humaneyes")
+model = PegasusForConditionalGeneration.from_pretrained("Eemansleepdeprived/Humaneyes")
+
+# Ensure the model has a pad_token_id (use eos_token_id if missing)
+if model.config.pad_token_id is None:
+    model.config.pad_token_id = tokenizer.eos_token_id
+
+def humanize_text(ai_text):
+    if not ai_text.strip():
+        return "❌ Please enter some text to process."
+    # Tokenize the input text
+    inputs = tokenizer(ai_text, return_tensors="pt")
+    # Generate human-like text with controlled parameters
+    outputs = model.generate(
+        inputs["input_ids"],
+        max_length=256,
+        num_beams=5,
+        early_stopping=True
+    )
+    # Decode and return the generated text
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Build a modern Gradio UI
+with gr.Blocks(theme=gr.themes.Soft(), css=".container {max-width: 700px; margin: auto;}") as demo:
+    gr.Markdown("# ✨ AI to Human Text Converter ✨")
+    gr.Markdown("Convert AI-generated text into natural, human-like text!")
+    
+    with gr.Row():
+        ai_input = gr.Textbox(
+            label="Enter AI Text", 
+            placeholder="Type or paste AI-generated text here...", 
+            lines=7
+        )
+    
+    btn = gr.Button("🚀 Humanize Text", variant="primary")
+    
+    with gr.Row():
+        human_output = gr.Textbox(
+            label="Humanized Output", 
+            interactive=False, 
+            lines=7
+        )
+    
+    btn.click(humanize_text, inputs=ai_input, outputs=human_output)
+
+if __name__ == "__main__":
+    demo.launch()