Spaces:
Paused
Paused
Update app.py
Browse files
app.py
CHANGED
|
@@ -4,14 +4,14 @@ from transformers import pipeline
|
|
| 4 |
import fitz # PyMuPDF for PDF
|
| 5 |
|
| 6 |
# -------------------------------
|
| 7 |
-
#
|
| 8 |
# -------------------------------
|
| 9 |
text_detector = pipeline("text-classification", model="roberta-base-openai-detector")
|
| 10 |
image_analyzer = pipeline("image-classification", model="microsoft/resnet-50")
|
| 11 |
asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=-1)
|
| 12 |
|
| 13 |
# -------------------------------
|
| 14 |
-
#
|
| 15 |
# -------------------------------
|
| 16 |
@spaces.GPU
|
| 17 |
def oracle_text(user_text: str):
|
|
@@ -21,9 +21,9 @@ def oracle_text(user_text: str):
|
|
| 21 |
label = result[0]['label']
|
| 22 |
score = round(result[0]['score'] * 100, 2)
|
| 23 |
return (
|
| 24 |
-
f"
|
| 25 |
-
if label.lower() == "
|
| 26 |
-
else f"
|
| 27 |
)
|
| 28 |
|
| 29 |
@spaces.GPU
|
|
@@ -33,7 +33,7 @@ def oracle_image(user_img):
|
|
| 33 |
result = image_analyzer(user_img)
|
| 34 |
label = result[0]['label']
|
| 35 |
score = round(result[0]['score'] * 100, 2)
|
| 36 |
-
return f"
|
| 37 |
|
| 38 |
@spaces.GPU
|
| 39 |
def oracle_audio(audio_file):
|
|
@@ -44,9 +44,9 @@ def oracle_audio(audio_file):
|
|
| 44 |
label = result[0]['label']
|
| 45 |
score = round(result[0]['score'] * 100, 2)
|
| 46 |
verdict = (
|
| 47 |
-
f"
|
| 48 |
if label.lower() == "fake"
|
| 49 |
-
else f"
|
| 50 |
)
|
| 51 |
return verdict
|
| 52 |
|
|
@@ -58,30 +58,29 @@ def oracle_pdf(pdf_file):
|
|
| 58 |
text = "".join([page.get_text() for page in doc])
|
| 59 |
if not text.strip():
|
| 60 |
return "⚠️ No text found in PDF."
|
| 61 |
-
result = text_detector(text[:800])
|
| 62 |
label = result[0]['label']
|
| 63 |
score = round(result[0]['score'] * 100, 2)
|
| 64 |
return (
|
| 65 |
-
f"
|
| 66 |
if label.lower() == "fake"
|
| 67 |
-
else f"
|
| 68 |
)
|
| 69 |
|
| 70 |
# -------------------------------
|
| 71 |
-
# UI
|
| 72 |
# -------------------------------
|
| 73 |
with gr.Blocks(css="""
|
| 74 |
body {
|
| 75 |
background: linear-gradient(135deg, #ff9a9e, #fad0c4, #a1c4fd, #c2e9fb);
|
| 76 |
font-family: 'Trebuchet MS', sans-serif;
|
| 77 |
-
color: #FFFFFF;
|
| 78 |
}
|
| 79 |
#title {
|
| 80 |
text-align: center;
|
| 81 |
font-size: 3em;
|
| 82 |
color: #FFD700;
|
| 83 |
-
padding:
|
| 84 |
-
text-shadow:
|
| 85 |
}
|
| 86 |
#subtitle {
|
| 87 |
text-align: center;
|
|
@@ -89,64 +88,56 @@ body {
|
|
| 89 |
color: #00FFFF;
|
| 90 |
margin-bottom: 25px;
|
| 91 |
}
|
| 92 |
-
.
|
| 93 |
-
background: rgba(0, 0, 0, 0.7);
|
| 94 |
border-radius: 15px;
|
| 95 |
-
padding:
|
| 96 |
-
font-size: 1.
|
| 97 |
-
color: #FFFFFF;
|
| 98 |
-
box-shadow: 0 0 15px #FFD700;
|
| 99 |
margin-top: 15px;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
}
|
| 101 |
-
.
|
| 102 |
-
|
|
|
|
|
|
|
| 103 |
}
|
| 104 |
""") as demo:
|
| 105 |
|
| 106 |
gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
|
| 107 |
-
gr.HTML("<div id='subtitle'
|
| 108 |
-
|
| 109 |
-
gr.Markdown("""
|
| 110 |
-
👋 **Welcome, Seeker!**
|
| 111 |
-
|
| 112 |
-
The Oracle gazes upon your offering — whether **text**, **image**, **voice**, or **PDF** —
|
| 113 |
-
and reveals its prophecy: 🧑💻 Human‑born ☀️ or 🤖 Machine‑conjured.
|
| 114 |
-
|
| 115 |
-
👉 Choose a panel below and witness the verdict in a glowing prophecy box.
|
| 116 |
-
""")
|
| 117 |
|
| 118 |
with gr.Tab("📜 Text Divination"):
|
| 119 |
-
txt_in = gr.Textbox(lines=8, label="
|
| 120 |
-
btn_txt = gr.Button("✨ Reveal Prophecy"
|
| 121 |
-
txt_out = gr.
|
| 122 |
btn_txt.click(oracle_text, inputs=txt_in, outputs=txt_out)
|
| 123 |
|
| 124 |
-
gr.Examples(
|
| 125 |
-
examples=[
|
| 126 |
-
["Once upon a time in a galaxy far away…"],
|
| 127 |
-
["Artificial Intelligence is revolutionizing healthcare globally 🌍"],
|
| 128 |
-
["LOL can't believe it's Monday again 😅"],
|
| 129 |
-
["This manuscript provides a rigorous evaluation of Transformer architectures."]
|
| 130 |
-
],
|
| 131 |
-
inputs=txt_in
|
| 132 |
-
)
|
| 133 |
-
|
| 134 |
with gr.Tab("🖼️ Image Prophecy"):
|
| 135 |
-
img_in = gr.Image(type="filepath", label="Upload
|
| 136 |
-
btn_img = gr.Button("✨ Reveal Prophecy"
|
| 137 |
-
img_out = gr.
|
| 138 |
btn_img.click(oracle_image, inputs=img_in, outputs=img_out)
|
| 139 |
|
| 140 |
with gr.Tab("🔊 Voice Revelation"):
|
| 141 |
-
aud_in = gr.Audio(sources=["microphone"], type="filepath", label="
|
| 142 |
-
btn_aud = gr.Button("✨ Reveal Prophecy"
|
| 143 |
-
aud_out = gr.
|
| 144 |
btn_aud.click(oracle_audio, inputs=aud_in, outputs=aud_out)
|
| 145 |
|
| 146 |
with gr.Tab("📑 PDF Prophecy"):
|
| 147 |
-
pdf_in = gr.File(
|
| 148 |
-
btn_pdf = gr.Button("✨ Reveal Prophecy"
|
| 149 |
-
pdf_out = gr.
|
| 150 |
btn_pdf.click(oracle_pdf, inputs=pdf_in, outputs=pdf_out)
|
| 151 |
|
| 152 |
demo.launch()
|
|
|
|
| 4 |
import fitz # PyMuPDF for PDF
|
| 5 |
|
| 6 |
# -------------------------------
|
| 7 |
+
# Models
|
| 8 |
# -------------------------------
|
| 9 |
text_detector = pipeline("text-classification", model="roberta-base-openai-detector")
|
| 10 |
image_analyzer = pipeline("image-classification", model="microsoft/resnet-50")
|
| 11 |
asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=-1)
|
| 12 |
|
| 13 |
# -------------------------------
|
| 14 |
+
# Functions
|
| 15 |
# -------------------------------
|
| 16 |
@spaces.GPU
|
| 17 |
def oracle_text(user_text: str):
|
|
|
|
| 21 |
label = result[0]['label']
|
| 22 |
score = round(result[0]['score'] * 100, 2)
|
| 23 |
return (
|
| 24 |
+
f"<div class='prophecy human'>☀️ Prophecy: {score}% Human‑written 🧑💻</div>"
|
| 25 |
+
if label.lower() == "real" or label.lower() == "human"
|
| 26 |
+
else f"<div class='prophecy ai'>🌌 Prophecy: {score}% AI‑generated 🤖✨</div>"
|
| 27 |
)
|
| 28 |
|
| 29 |
@spaces.GPU
|
|
|
|
| 33 |
result = image_analyzer(user_img)
|
| 34 |
label = result[0]['label']
|
| 35 |
score = round(result[0]['score'] * 100, 2)
|
| 36 |
+
return f"<div class='prophecy image'>🖼️ Oracle’s Sight: {score}% resemblance to <b>{label}</b> 🌠</div>"
|
| 37 |
|
| 38 |
@spaces.GPU
|
| 39 |
def oracle_audio(audio_file):
|
|
|
|
| 44 |
label = result[0]['label']
|
| 45 |
score = round(result[0]['score'] * 100, 2)
|
| 46 |
verdict = (
|
| 47 |
+
f"<div class='prophecy ai'>🔊 Transcript: <i>{transcript}</i><br><br>🌌 Prophecy: {score}% AI‑generated 🤖</div>"
|
| 48 |
if label.lower() == "fake"
|
| 49 |
+
else f"<div class='prophecy human'>🔊 Transcript: <i>{transcript}</i><br><br>☀️ Prophecy: {score}% Human‑written 🧑💻</div>"
|
| 50 |
)
|
| 51 |
return verdict
|
| 52 |
|
|
|
|
| 58 |
text = "".join([page.get_text() for page in doc])
|
| 59 |
if not text.strip():
|
| 60 |
return "⚠️ No text found in PDF."
|
| 61 |
+
result = text_detector(text[:800])
|
| 62 |
label = result[0]['label']
|
| 63 |
score = round(result[0]['score'] * 100, 2)
|
| 64 |
return (
|
| 65 |
+
f"<div class='prophecy ai'>📑 PDF Prophecy: {score}% AI‑generated 🤖</div>"
|
| 66 |
if label.lower() == "fake"
|
| 67 |
+
else f"<div class='prophecy human'>📑 PDF Prophecy: {score}% Human‑authored 🧑💻</div>"
|
| 68 |
)
|
| 69 |
|
| 70 |
# -------------------------------
|
| 71 |
+
# UI
|
| 72 |
# -------------------------------
|
| 73 |
with gr.Blocks(css="""
|
| 74 |
body {
|
| 75 |
background: linear-gradient(135deg, #ff9a9e, #fad0c4, #a1c4fd, #c2e9fb);
|
| 76 |
font-family: 'Trebuchet MS', sans-serif;
|
|
|
|
| 77 |
}
|
| 78 |
#title {
|
| 79 |
text-align: center;
|
| 80 |
font-size: 3em;
|
| 81 |
color: #FFD700;
|
| 82 |
+
padding: 15px;
|
| 83 |
+
text-shadow: 3px 3px 10px #000;
|
| 84 |
}
|
| 85 |
#subtitle {
|
| 86 |
text-align: center;
|
|
|
|
| 88 |
color: #00FFFF;
|
| 89 |
margin-bottom: 25px;
|
| 90 |
}
|
| 91 |
+
.prophecy {
|
|
|
|
| 92 |
border-radius: 15px;
|
| 93 |
+
padding: 25px;
|
| 94 |
+
font-size: 1.6em;
|
|
|
|
|
|
|
| 95 |
margin-top: 15px;
|
| 96 |
+
text-align: center;
|
| 97 |
+
font-weight: bold;
|
| 98 |
+
}
|
| 99 |
+
.prophecy.human {
|
| 100 |
+
background: rgba(0, 128, 0, 0.7);
|
| 101 |
+
color: #fff;
|
| 102 |
+
box-shadow: 0 0 18px #00FF7F;
|
| 103 |
+
}
|
| 104 |
+
.prophecy.ai {
|
| 105 |
+
background: rgba(128, 0, 128, 0.7);
|
| 106 |
+
color: #fff;
|
| 107 |
+
box-shadow: 0 0 18px #FF00FF;
|
| 108 |
}
|
| 109 |
+
.prophecy.image {
|
| 110 |
+
background: rgba(0,0,0,0.6);
|
| 111 |
+
color: #FFD700;
|
| 112 |
+
box-shadow: 0 0 15px #FFF176;
|
| 113 |
}
|
| 114 |
""") as demo:
|
| 115 |
|
| 116 |
gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
|
| 117 |
+
gr.HTML("<div id='subtitle'>✨ Multi‑Sight: Text · Image · Voice · PDF ✨</div>")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 118 |
|
| 119 |
with gr.Tab("📜 Text Divination"):
|
| 120 |
+
txt_in = gr.Textbox(lines=8, label="Enter your text ✍️", placeholder="Paste essay, article, story…")
|
| 121 |
+
btn_txt = gr.Button("✨ Reveal Prophecy")
|
| 122 |
+
txt_out = gr.HTML()
|
| 123 |
btn_txt.click(oracle_text, inputs=txt_in, outputs=txt_out)
|
| 124 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 125 |
with gr.Tab("🖼️ Image Prophecy"):
|
| 126 |
+
img_in = gr.Image(type="filepath", label="Upload Image")
|
| 127 |
+
btn_img = gr.Button("✨ Reveal Prophecy")
|
| 128 |
+
img_out = gr.HTML()
|
| 129 |
btn_img.click(oracle_image, inputs=img_in, outputs=img_out)
|
| 130 |
|
| 131 |
with gr.Tab("🔊 Voice Revelation"):
|
| 132 |
+
aud_in = gr.Audio(sources=["microphone"], type="filepath", label="Speak here 🎙️")
|
| 133 |
+
btn_aud = gr.Button("✨ Reveal Prophecy")
|
| 134 |
+
aud_out = gr.HTML()
|
| 135 |
btn_aud.click(oracle_audio, inputs=aud_in, outputs=aud_out)
|
| 136 |
|
| 137 |
with gr.Tab("📑 PDF Prophecy"):
|
| 138 |
+
pdf_in = gr.File(file_types=[".pdf"], label="Upload PDF")
|
| 139 |
+
btn_pdf = gr.Button("✨ Reveal Prophecy")
|
| 140 |
+
pdf_out = gr.HTML()
|
| 141 |
btn_pdf.click(oracle_pdf, inputs=pdf_in, outputs=pdf_out)
|
| 142 |
|
| 143 |
demo.launch()
|