import torch
import gradio as gr
from transformers import (
AutoTokenizer,
AutoModelForSequenceClassification
)
# =========================
# Model loading (UNCHANGED)
# =========================
MODEL_NAME = "duclo90/results"
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForSequenceClassification.from_pretrained(MODEL_NAME)
model.eval()
# =========================
# Inference logic (UNCHANGED)
# =========================
def classify_text(text):
if not text.strip():
return """
⚠️ Oops!
Please enter some text to analyze
"""
inputs = tokenizer(
text,
return_tensors="pt",
truncation=True,
max_length=512
)
with torch.no_grad():
outputs = model(**inputs)
probs = torch.softmax(outputs.logits, dim=-1)
score, pred = torch.max(probs, dim=-1)
label = model.config.id2label[pred.item()]
if label.lower() == "human":
return """
👤
Human-Written
This text appears to be written by a human
✨ Natural & Authentic
"""
else:
return """
🤖
AI-Generated
This text appears to be machine-generated
⚡ AI-Powered Content
"""
# =========================
# CSS (ONLY UI REMOVALS)
# =========================
custom_css = """
/* Remove Gradio top bar, API button, settings, footer */
header,
footer,
.gradio-header,
.gradio-footer,
.gradio-toolbar,
#top-bar,
[class*="header"],
[class*="toolbar"],
[class*="footer"],
.svelte-1ipelgc,
.svelte-1xw6x5s {
display: none !important;
height: 0 !important;
min-height: 0 !important;
visibility: hidden !important;
padding: 0 !important;
margin: 0 !important;
}
/* Remove leftover spacing */
body {
margin: 0 !important;
padding: 0 !important;
}
/* Your existing styles */
#component-0 {
max-width: 900px;
margin: auto;
padding: 20px;
}
.gradio-container {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
font-family: 'Inter', sans-serif;
min-height: 100vh !important;
}
#title {
text-align: center;
color: white;
font-size: 2.5em;
font-weight: 700;
margin-bottom: 10px;
}
#description {
text-align: center;
color: rgba(255,255,255,0.9);
font-size: 1.1em;
margin-bottom: 30px;
}
.input-textarea, .output-markdown {
border-radius: 15px !important;
border: 2px solid rgba(255,255,255,0.3) !important;
background: rgba(255,255,255,0.95) !important;
}
button {
background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%) !important;
border-radius: 10px !important;
font-weight: 600 !important;
}
"""
# =========================
# Interface (UNCHANGED)
# =========================
iface = gr.Interface(
fn=classify_text,
inputs=gr.Textbox(
lines=8,
placeholder="✍️ Paste or type text here to analyze...",
label="Enter Text"
),
outputs=gr.HTML(label="Analysis Result"),
title="🔍 AI Text Classifier
",
description="Detect whether text is human-written or AI-generated using advanced NLP
"
"Model by Dergaoui Ayoub
",
flagging_mode="never"
)
# =========================
# Launch
# =========================
iface.launch(
theme=gr.themes.Soft(
primary_hue="purple",
secondary_hue="pink",
neutral_hue="slate",
font=gr.themes.GoogleFont("Inter")
),
css=custom_css,
share=False
)