Update app.py

app.py

@@ -1,35 +1,30 @@
 import gradio as gr
 import spaces
 from transformers import pipeline
-import fitz  # PyMuPDF for PDF extraction
+import fitz  # PyMuPDF for PDF text extraction
 
 # -------------------------------
 # Load Models
 # -------------------------------
-# Text detector (public)
 text_detector = pipeline("text-classification", model="roberta-base-openai-detector")
-
-# Image classifier (public baseline, since AI-specific detectors are often gated)
 image_analyzer = pipeline("image-classification", model="microsoft/resnet-50")
-
-# Whisper tiny for audio → text transcription
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=-1)
 
 # -------------------------------
-# Oracle Functions
+# Functions
 # -------------------------------
-
 @spaces.GPU
 def oracle_text(user_text: str):
-    if not user_text or not user_text.strip():
-        return "⚠️ Please provide some text for the Oracle."
+    if not user_text.strip():
+        return "⚠️ Please enter some text."
     result = text_detector(user_text)
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
-    if label.lower() == "fake":
-        return f"🌌 **Prophecy:** {score}% chance this was **conjured by AI sorcery** 🤖✨"
-    else:
-        return f"☀️ **Prophecy:** {score}% chance this was **crafted by a mortal hand** 🧑‍💻"
+    return (
+        f"🌌 **Prophecy:** {score}% chance this was conjured by AI 🤖✨"
+        if label.lower() == "fake"
+        else f"☀️ **Prophecy:** {score}% chance this was crafted by a Human 🧑‍💻"
+    )
 
 @spaces.GPU
 def oracle_image(user_img):
@@ -38,7 +33,7 @@ def oracle_image(user_img):
     result = image_analyzer(user_img)
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
-    return f"🌠 **Oracle’s Gaze:** {score}% resemblance to *{label}*.\n(Note: Image prophecy = experimental 🌌)"
+    return f"🖼️ Oracle’s Sight: {score}% resemblance to *{label}*\n*(Image prophecy experimental 🌌)*"
 
 @spaces.GPU
 def oracle_audio(audio_file):
@@ -48,10 +43,11 @@ def oracle_audio(audio_file):
     result = text_detector(transcript)
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
-    if label.lower() == "fake":
-        verdict = f"🔊 Transcript: *{transcript}*\n\n🌌 Prophecy: {score}% AI-generated."
-    else:
-        verdict = f"🔊 Transcript: *{transcript}*\n\n☀️ Prophecy: {score}% Human-written."
+    verdict = (
+        f"🔊 Transcript: *{transcript}*\n\n🌌 Prophecy: {score}% AI‑generated."
+        if label.lower() == "fake"
+        else f"🔊 Transcript: *{transcript}*\n\n☀️ Prophecy: {score}% Human‑written."
+    )
     return verdict
 
 @spaces.GPU
@@ -59,101 +55,93 @@ def oracle_pdf(pdf_file):
     if pdf_file is None:
         return "⚠️ Please upload a PDF."
     doc = fitz.open(pdf_file)
-    text = ""
-    for page in doc:
-        text += page.get_text()
+    text = "".join(page.get_text() for page in doc)
     if not text.strip():
-        return "⚠️ Could not extract text from PDF."
-    # Detect
-    result = text_detector(text[:800])  # limit chars for speed
+        return "⚠️ No readable text found in PDF!"
+    result = text_detector(text[:800])
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
-    if label.lower() == "fake":
-        return f"📑 PDF Analysis: {score}% chance this was made by AI 🤖"
-    else:
-        return f"📑 PDF Analysis: {score}% chance this was human-authored 🧑‍💻"
+    return (
+        f"📑 PDF Prophecy: {score}% AI‑generated."
+        if label.lower() == "fake"
+        else f"📑 PDF Prophecy: {score}% Human‑authored."
+    )
 
 # -------------------------------
 # Gradio Immersive UI
 # -------------------------------
 with gr.Blocks(css="""
 body {
-    background: linear-gradient(135deg, #ff9a9e, #fad0c4, #a18cd1, #fbc2eb);
+    background: linear-gradient(135deg, #ff9a9e, #fad0c4, #a1c4fd, #c2e9fb);
     font-family: 'Trebuchet MS', sans-serif;
-    color: white;
+    color: #E0FFFF;
 }
 #title {
     text-align: center;
-    font-size: 2.8em;
+    font-size: 3em;
     color: #FFD700;
     padding: 20px;
-    text-shadow: 2px 2px 5px #000;
+    text-shadow: 3px 3px 10px #000;
 }
 #subtitle {
     text-align: center;
-    font-size: 1.3em;
-    color: #E0FFFF;
-    margin-bottom: 20px;
+    font-size: 1.4em;
+    color: #00FFFF;
+    margin-bottom: 30px;
 }
 .result-box {
-    background: rgba(255, 255, 255, 0.2);
+    background: rgba(0,0,0,0.6);
     border-radius: 15px;
     padding: 20px;
-    font-size: 1.3em;
-    color: #fff;
-    margin-top: 10px;
+    font-size: 1.4em;
+    margin-top: 15px;
+    color: #FFFFFF;
     box-shadow: 0px 0px 15px #FFD700;
 }
 """) as demo:
 
     gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
-    gr.HTML("<div id='subtitle'>Offer your text, image, voice, or PDF to the Oracle ✨</div>")
-    
-    gr.Markdown("""
-Welcome, seeker 🌌  
+    gr.HTML("<div id='subtitle'>Multi‑format AI vs Human Divination ✨ Text · Image · Voice · PDF</div>")
 
-The **Oracle of Truth** gazes upon your offering and divines whether it was born of  
-a **mortal hand** ☀️ or conjured by **AI sorcery** 🤖✨.  
+    gr.Markdown("""
+👋 **Welcome Seeker!**
 
-## 🌟 How to Use
-- 📜 Paste text in the **Text Divination** panel.  
-- 🖼️ Upload images in the **Image Prophecy** panel.  
-- 🔊 Speak into the **Voice Revelation** panel.  
-- 📑 Offer a **PDF** to see if it was written by human or AI.  
+The Oracle peers into your offering and reveals whether it was **AI‑crafted 🤖** or **human‑made 🧑‍💻**.  
+Choose one of the formats below ⬇️
 
-The Oracle responds in glowing prophecy form — watch carefully 👁️  
+👉 Paste text, upload an image, speak aloud, or offer a PDF.  
 """)
 
     with gr.Tab("📜 Text Divination"):
-        txt_in = gr.Textbox(lines=10, label="Your Text ✍️", placeholder="Paste story, essay, or blog…")
+        txt_in = gr.Textbox(lines=8, label="📝 Enter your text", placeholder="Paste your essay, blog, or snippet here…")
         btn_txt = gr.Button("✨ Reveal Prophecy", variant="primary")
         txt_out = gr.Markdown(elem_classes="result-box")
         btn_txt.click(oracle_text, inputs=txt_in, outputs=txt_out)
 
         gr.Examples(
             examples=[
-                ["Once upon a time in a galaxy…"],
-                ["AI is revolutionizing the world of education and technology."],
-                ["OMG I can’t believe it’s already Monday 😅"],
-                ["This paper provides an extensive overview of machine translation performance."]
+                ["Once upon a time in a galaxy far away..."],
+                ["Artificial Intelligence is revolutionizing health and education sectors across the globe."],
+                ["LOL can't believe it's Monday 😅"],
+                ["This manuscript provides a comprehensive evaluation of machine translation systems."]
             ],
             inputs=txt_in
         )
 
     with gr.Tab("🖼️ Image Prophecy"):
-        img_in = gr.Image(type="filepath", label="Upload Image 🖼️")
+        img_in = gr.Image(type="filepath", label="📷 Upload an image")
         btn_img = gr.Button("✨ Reveal Prophecy", variant="primary")
         img_out = gr.Markdown(elem_classes="result-box")
         btn_img.click(oracle_image, inputs=img_in, outputs=img_out)
 
     with gr.Tab("🔊 Voice Revelation"):
-        aud_in = gr.Audio(sources=["microphone"], type="filepath", label="Speak Now 🎙️")
+        aud_in = gr.Audio(sources=["microphone"], type="filepath", label="🎤 Speak to the Oracle")
         btn_aud = gr.Button("✨ Reveal Prophecy", variant="primary")
         aud_out = gr.Markdown(elem_classes="result-box")
         btn_aud.click(oracle_audio, inputs=aud_in, outputs=aud_out)
 
     with gr.Tab("📑 PDF Prophecy"):
-        pdf_in = gr.File(label="Upload PDF 📄", file_types=[".pdf"])
+        pdf_in = gr.File(label="📄 Upload PDF file", file_types=[".pdf"])
         btn_pdf = gr.Button("✨ Reveal Prophecy", variant="primary")
         pdf_out = gr.Markdown(elem_classes="result-box")
         btn_pdf.click(oracle_pdf, inputs=pdf_in, outputs=pdf_out)