Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# Load model (choose Falcon or Mistral)
+model_name = "mistralai/Mistral-7B-Instruct-v0.2"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    device_map="auto",
+    torch_dtype=torch.float16
+)
+
+# Humanizer function
+def humanize_text(ai_text):
+    if not ai_text.strip():
+        return "⚠️ Please enter some text.", ""
+    
+    # Prompt for rewriting
+    prompt = (
+        "Rewrite the following AI-generated text so it sounds natural and human-like. "
+        "Avoid robotic tone, vary sentence length, and make it engaging:\n\n"
+        f"Text: {ai_text}\n\n"
+        "Humanized version:"
+    )
+
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=400,
+        temperature=1.0,
+        top_p=0.95
+    )
+    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").to("cuda")
+    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
+
+# 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.")
+
+    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]
+    )
+
+demo.launch()