Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -5,50 +5,41 @@ from transformers import (
|
|
| 5 |
AutoModelForSequenceClassification
|
| 6 |
)
|
| 7 |
|
| 8 |
-
|
| 9 |
MODEL_NAME = "duclo90/results"
|
| 10 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 11 |
model = AutoModelForSequenceClassification.from_pretrained(MODEL_NAME)
|
| 12 |
model.eval()
|
| 13 |
|
| 14 |
-
|
| 15 |
def classify_text(text):
|
| 16 |
if not text.strip():
|
| 17 |
return """
|
| 18 |
-
<div style="text-align: center; padding: 40px; background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
|
| 19 |
-
border-radius: 20px; color: white;">
|
| 20 |
<h2 style="margin: 0;">⚠️ Oops!</h2>
|
| 21 |
<p style="margin-top: 10px; font-size: 18px;">Please enter some text to analyze</p>
|
| 22 |
</div>
|
| 23 |
"""
|
| 24 |
-
|
| 25 |
inputs = tokenizer(
|
| 26 |
text,
|
| 27 |
return_tensors="pt",
|
| 28 |
truncation=True,
|
| 29 |
max_length=512
|
| 30 |
)
|
| 31 |
-
|
| 32 |
with torch.no_grad():
|
| 33 |
outputs = model(**inputs)
|
| 34 |
probs = torch.softmax(outputs.logits, dim=-1)
|
| 35 |
score, pred = torch.max(probs, dim=-1)
|
| 36 |
-
|
| 37 |
label = model.config.id2label[pred.item()]
|
| 38 |
-
|
|
|
|
| 39 |
if label.lower() == "human":
|
| 40 |
-
|
| 41 |
-
<div style="text-align: center; padding: 50px 30px;
|
| 42 |
-
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 43 |
-
border-radius: 25px; box-shadow: 0 20px 60px rgba(0,0,0,0.3);
|
| 44 |
-
animation: slideIn 0.5s ease-out;">
|
| 45 |
<div style="font-size: 80px; margin-bottom: 20px; animation: bounce 1s ease;">👤</div>
|
| 46 |
-
<h1 style="color: white; font-size: 42px; margin: 0; font-weight: 700;">Human-Written</h1>
|
| 47 |
-
<p style="color: rgba(255,255,255,0.9); font-size: 20px; margin-top: 15px;">
|
| 48 |
-
|
| 49 |
-
</p>
|
| 50 |
-
<div style="margin-top: 30px; padding: 15px 30px; background: rgba(255,255,255,0.2);
|
| 51 |
-
border-radius: 15px; display: inline-block;">
|
| 52 |
<span style="color: white; font-size: 18px; font-weight: 600;">✨ Natural & Authentic</span>
|
| 53 |
</div>
|
| 54 |
</div>
|
|
@@ -64,18 +55,12 @@ def classify_text(text):
|
|
| 64 |
</style>
|
| 65 |
"""
|
| 66 |
else:
|
| 67 |
-
|
| 68 |
-
<div style="text-align: center; padding: 50px 30px;
|
| 69 |
-
background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
|
| 70 |
-
border-radius: 25px; box-shadow: 0 20px 60px rgba(0,0,0,0.3);
|
| 71 |
-
animation: slideIn 0.5s ease-out;">
|
| 72 |
<div style="font-size: 80px; margin-bottom: 20px; animation: bounce 1s ease;">🤖</div>
|
| 73 |
-
<h1 style="color: white; font-size: 42px; margin: 0; font-weight: 700;">AI-Generated</h1>
|
| 74 |
-
<p style="color: rgba(255,255,255,0.9); font-size: 20px; margin-top: 15px;">
|
| 75 |
-
|
| 76 |
-
</p>
|
| 77 |
-
<div style="margin-top: 30px; padding: 15px 30px; background: rgba(255,255,255,0.2);
|
| 78 |
-
border-radius: 15px; display: inline-block;">
|
| 79 |
<span style="color: white; font-size: 18px; font-weight: 600;">⚡ AI-Powered Content</span>
|
| 80 |
</div>
|
| 81 |
</div>
|
|
@@ -90,36 +75,11 @@ def classify_text(text):
|
|
| 90 |
}
|
| 91 |
</style>
|
| 92 |
"""
|
|
|
|
|
|
|
| 93 |
|
| 94 |
-
|
| 95 |
custom_css = """
|
| 96 |
-
/* Remove Gradio top bar, API button, settings, footer */
|
| 97 |
-
header,
|
| 98 |
-
footer,
|
| 99 |
-
.gradio-header,
|
| 100 |
-
.gradio-footer,
|
| 101 |
-
.gradio-toolbar,
|
| 102 |
-
#top-bar,
|
| 103 |
-
[class*="header"],
|
| 104 |
-
[class*="toolbar"],
|
| 105 |
-
[class*="footer"],
|
| 106 |
-
.svelte-1ipelgc,
|
| 107 |
-
.svelte-1xw6x5s {
|
| 108 |
-
display: none !important;
|
| 109 |
-
height: 0 !important;
|
| 110 |
-
min-height: 0 !important;
|
| 111 |
-
visibility: hidden !important;
|
| 112 |
-
padding: 0 !important;
|
| 113 |
-
margin: 0 !important;
|
| 114 |
-
}
|
| 115 |
-
|
| 116 |
-
/* Remove leftover spacing */
|
| 117 |
-
body {
|
| 118 |
-
margin: 0 !important;
|
| 119 |
-
padding: 0 !important;
|
| 120 |
-
}
|
| 121 |
-
|
| 122 |
-
/* Your existing styles */
|
| 123 |
#component-0 {
|
| 124 |
max-width: 900px;
|
| 125 |
margin: auto;
|
|
@@ -129,7 +89,6 @@ body {
|
|
| 129 |
.gradio-container {
|
| 130 |
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
|
| 131 |
font-family: 'Inter', sans-serif;
|
| 132 |
-
min-height: 100vh !important;
|
| 133 |
}
|
| 134 |
|
| 135 |
#title {
|
|
@@ -138,6 +97,7 @@ body {
|
|
| 138 |
font-size: 2.5em;
|
| 139 |
font-weight: 700;
|
| 140 |
margin-bottom: 10px;
|
|
|
|
| 141 |
}
|
| 142 |
|
| 143 |
#description {
|
|
@@ -151,31 +111,45 @@ body {
|
|
| 151 |
border-radius: 15px !important;
|
| 152 |
border: 2px solid rgba(255,255,255,0.3) !important;
|
| 153 |
background: rgba(255,255,255,0.95) !important;
|
|
|
|
| 154 |
}
|
| 155 |
|
| 156 |
button {
|
| 157 |
background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%) !important;
|
|
|
|
| 158 |
border-radius: 10px !important;
|
|
|
|
| 159 |
font-weight: 600 !important;
|
|
|
|
|
|
|
|
|
|
| 160 |
}
|
| 161 |
-
"""
|
| 162 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 163 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 164 |
iface = gr.Interface(
|
| 165 |
fn=classify_text,
|
| 166 |
inputs=gr.Textbox(
|
| 167 |
-
lines=8,
|
| 168 |
placeholder="✍️ Paste or type text here to analyze...",
|
| 169 |
-
label="Enter Text"
|
|
|
|
| 170 |
),
|
| 171 |
outputs=gr.HTML(label="Analysis Result"),
|
| 172 |
title="<div id='title'>🔍 AI Text Classifier</div>",
|
| 173 |
-
description="<div id='description'>Detect whether text is human-written or AI-generated using advanced NLP<br>"
|
| 174 |
-
"<span style='font-size: 0.85em; opacity: 0.7;'>Model by Dergaoui Ayoub</span></div>",
|
| 175 |
flagging_mode="never"
|
| 176 |
)
|
| 177 |
|
| 178 |
-
|
| 179 |
iface.launch(
|
| 180 |
theme=gr.themes.Soft(
|
| 181 |
primary_hue="purple",
|
|
@@ -185,4 +159,4 @@ iface.launch(
|
|
| 185 |
),
|
| 186 |
css=custom_css,
|
| 187 |
share=False
|
| 188 |
-
)
|
|
|
|
| 5 |
AutoModelForSequenceClassification
|
| 6 |
)
|
| 7 |
|
|
|
|
| 8 |
MODEL_NAME = "duclo90/results"
|
| 9 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 10 |
model = AutoModelForSequenceClassification.from_pretrained(MODEL_NAME)
|
| 11 |
model.eval()
|
| 12 |
|
|
|
|
| 13 |
def classify_text(text):
|
| 14 |
if not text.strip():
|
| 15 |
return """
|
| 16 |
+
<div style="text-align: center; padding: 40px; background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%); border-radius: 20px; color: white;">
|
|
|
|
| 17 |
<h2 style="margin: 0;">⚠️ Oops!</h2>
|
| 18 |
<p style="margin-top: 10px; font-size: 18px;">Please enter some text to analyze</p>
|
| 19 |
</div>
|
| 20 |
"""
|
| 21 |
+
|
| 22 |
inputs = tokenizer(
|
| 23 |
text,
|
| 24 |
return_tensors="pt",
|
| 25 |
truncation=True,
|
| 26 |
max_length=512
|
| 27 |
)
|
|
|
|
| 28 |
with torch.no_grad():
|
| 29 |
outputs = model(**inputs)
|
| 30 |
probs = torch.softmax(outputs.logits, dim=-1)
|
| 31 |
score, pred = torch.max(probs, dim=-1)
|
| 32 |
+
|
| 33 |
label = model.config.id2label[pred.item()]
|
| 34 |
+
|
| 35 |
+
# Create attractive HTML output
|
| 36 |
if label.lower() == "human":
|
| 37 |
+
result = """
|
| 38 |
+
<div style="text-align: center; padding: 50px 30px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 25px; box-shadow: 0 20px 60px rgba(0,0,0,0.3); animation: slideIn 0.5s ease-out;">
|
|
|
|
|
|
|
|
|
|
| 39 |
<div style="font-size: 80px; margin-bottom: 20px; animation: bounce 1s ease;">👤</div>
|
| 40 |
+
<h1 style="color: white; font-size: 42px; margin: 0; font-weight: 700; text-shadow: 2px 2px 4px rgba(0,0,0,0.2);">Human-Written</h1>
|
| 41 |
+
<p style="color: rgba(255,255,255,0.9); font-size: 20px; margin-top: 15px;">This text appears to be written by a human</p>
|
| 42 |
+
<div style="margin-top: 30px; padding: 15px 30px; background: rgba(255,255,255,0.2); border-radius: 15px; display: inline-block;">
|
|
|
|
|
|
|
|
|
|
| 43 |
<span style="color: white; font-size: 18px; font-weight: 600;">✨ Natural & Authentic</span>
|
| 44 |
</div>
|
| 45 |
</div>
|
|
|
|
| 55 |
</style>
|
| 56 |
"""
|
| 57 |
else:
|
| 58 |
+
result = """
|
| 59 |
+
<div style="text-align: center; padding: 50px 30px; background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%); border-radius: 25px; box-shadow: 0 20px 60px rgba(0,0,0,0.3); animation: slideIn 0.5s ease-out;">
|
|
|
|
|
|
|
|
|
|
| 60 |
<div style="font-size: 80px; margin-bottom: 20px; animation: bounce 1s ease;">🤖</div>
|
| 61 |
+
<h1 style="color: white; font-size: 42px; margin: 0; font-weight: 700; text-shadow: 2px 2px 4px rgba(0,0,0,0.2);">AI-Generated</h1>
|
| 62 |
+
<p style="color: rgba(255,255,255,0.9); font-size: 20px; margin-top: 15px;">This text appears to be machine-generated</p>
|
| 63 |
+
<div style="margin-top: 30px; padding: 15px 30px; background: rgba(255,255,255,0.2); border-radius: 15px; display: inline-block;">
|
|
|
|
|
|
|
|
|
|
| 64 |
<span style="color: white; font-size: 18px; font-weight: 600;">⚡ AI-Powered Content</span>
|
| 65 |
</div>
|
| 66 |
</div>
|
|
|
|
| 75 |
}
|
| 76 |
</style>
|
| 77 |
"""
|
| 78 |
+
|
| 79 |
+
return result
|
| 80 |
|
| 81 |
+
# Custom CSS for modern look
|
| 82 |
custom_css = """
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 83 |
#component-0 {
|
| 84 |
max-width: 900px;
|
| 85 |
margin: auto;
|
|
|
|
| 89 |
.gradio-container {
|
| 90 |
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
|
| 91 |
font-family: 'Inter', sans-serif;
|
|
|
|
| 92 |
}
|
| 93 |
|
| 94 |
#title {
|
|
|
|
| 97 |
font-size: 2.5em;
|
| 98 |
font-weight: 700;
|
| 99 |
margin-bottom: 10px;
|
| 100 |
+
text-shadow: 2px 2px 4px rgba(0,0,0,0.3);
|
| 101 |
}
|
| 102 |
|
| 103 |
#description {
|
|
|
|
| 111 |
border-radius: 15px !important;
|
| 112 |
border: 2px solid rgba(255,255,255,0.3) !important;
|
| 113 |
background: rgba(255,255,255,0.95) !important;
|
| 114 |
+
box-shadow: 0 8px 32px rgba(0,0,0,0.1) !important;
|
| 115 |
}
|
| 116 |
|
| 117 |
button {
|
| 118 |
background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%) !important;
|
| 119 |
+
border: none !important;
|
| 120 |
border-radius: 10px !important;
|
| 121 |
+
padding: 12px 30px !important;
|
| 122 |
font-weight: 600 !important;
|
| 123 |
+
font-size: 16px !important;
|
| 124 |
+
box-shadow: 0 4px 15px rgba(0,0,0,0.2) !important;
|
| 125 |
+
transition: transform 0.2s !important;
|
| 126 |
}
|
|
|
|
| 127 |
|
| 128 |
+
button:hover {
|
| 129 |
+
transform: translateY(-2px) !important;
|
| 130 |
+
box-shadow: 0 6px 20px rgba(0,0,0,0.3) !important;
|
| 131 |
+
}
|
| 132 |
|
| 133 |
+
.footer {
|
| 134 |
+
display: none !important;
|
| 135 |
+
}
|
| 136 |
+
"""
|
| 137 |
+
|
| 138 |
+
# Create interface with modern theme
|
| 139 |
iface = gr.Interface(
|
| 140 |
fn=classify_text,
|
| 141 |
inputs=gr.Textbox(
|
| 142 |
+
lines=8,
|
| 143 |
placeholder="✍️ Paste or type text here to analyze...",
|
| 144 |
+
label="Enter Text",
|
| 145 |
+
elem_id="input-text"
|
| 146 |
),
|
| 147 |
outputs=gr.HTML(label="Analysis Result"),
|
| 148 |
title="<div id='title'>🔍 AI Text Classifier</div>",
|
| 149 |
+
description="<div id='description'>Detect whether text is human-written or AI-generated using advanced NLP<br><span style='font-size: 0.85em; opacity: 0.7; margin-top: 8px; display: inline-block;'>Model by Dergaoui Ayoub</span></div>",
|
|
|
|
| 150 |
flagging_mode="never"
|
| 151 |
)
|
| 152 |
|
|
|
|
| 153 |
iface.launch(
|
| 154 |
theme=gr.themes.Soft(
|
| 155 |
primary_hue="purple",
|
|
|
|
| 159 |
),
|
| 160 |
css=custom_css,
|
| 161 |
share=False
|
| 162 |
+
)
|