Update app.py

app.py

@@ -1,149 +1,63 @@
 import gradio as gr
 import spaces
 from transformers import pipeline
-import fitz  # PyMuPDF for PDF text extraction
+import fitz  # PDF
 
 # -------------------------------
-# Load Models
+# Model load
 # -------------------------------
 text_detector = pipeline("text-classification", model="roberta-base-openai-detector")
-image_analyzer = pipeline("image-classification", model="microsoft/resnet-50")
-asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=-1)
 
-# -------------------------------
-# Functions
-# -------------------------------
 @spaces.GPU
 def oracle_text(user_text: str):
     if not user_text.strip():
-        return "⚠️ Please enter some text."
+        return "⚠️ Please enter text."
     result = text_detector(user_text)
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
-    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):
-    if user_img is None:
-        return "⚠️ Please upload an image!"
-    result = image_analyzer(user_img)
-    label = result[0]['label']
-    score = round(result[0]['score'] * 100, 2)
-    return f"🖼️ Oracle’s Sight: {score}% resemblance to *{label}*\n*(Image prophecy experimental 🌌)*"
-
-@spaces.GPU
-def oracle_audio(audio_file):
-    if audio_file is None:
-        return "⚠️ Please record your voice."
-    transcript = asr_pipe(audio_file)["text"]
-    result = text_detector(transcript)
-    label = result[0]['label']
-    score = round(result[0]['score'] * 100, 2)
-    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
-def oracle_pdf(pdf_file):
-    if pdf_file is None:
-        return "⚠️ Please upload a PDF."
-    doc = fitz.open(pdf_file)
-    text = "".join(page.get_text() for page in doc)
-    if not text.strip():
-        return "⚠️ No readable text found in PDF!"
-    result = text_detector(text[:800])
-    label = result[0]['label']
-    score = round(result[0]['score'] * 100, 2)
-    return (
-        f"📑 PDF Prophecy: {score}% AI‑generated."
-        if label.lower() == "fake"
-        else f"📑 PDF Prophecy: {score}% Human‑authored."
-    )
+    if label.lower() == "fake":
+        return f"🌌 **Prophecy:** {score}% AI‑generated 🤖✨"
+    else:
+        return f"☀️ **Prophecy:** {score}% Human‑written 🧑‍💻"
 
 # -------------------------------
-# Gradio Immersive UI
+# UI
 # -------------------------------
 with gr.Blocks(css="""
 body {
-    background: linear-gradient(135deg, #ff9a9e, #fad0c4, #a1c4fd, #c2e9fb);
-    font-family: 'Trebuchet MS', sans-serif;
-    color: #E0FFFF;
-}
-#title {
-    text-align: center;
-    font-size: 3em;
-    color: #FFD700;
-    padding: 20px;
-    text-shadow: 3px 3px 10px #000;
-}
-#subtitle {
-    text-align: center;
-    font-size: 1.4em;
-    color: #00FFFF;
-    margin-bottom: 30px;
+  background: linear-gradient(135deg, #ff9a9e, #fad0c4, #a1c4fd, #c2e9fb);
+  font-family: 'Trebuchet MS', sans-serif;
 }
+#title { text-align: center; font-size: 2.8em; color: #FFD700; text-shadow: 2px 2px 6px black; }
+#subtitle { text-align: center; font-size: 1.3em; color: #00FFFF; margin-bottom: 20px; }
 .result-box {
-    background: rgba(0,0,0,0.6);
-    border-radius: 15px;
-    padding: 20px;
-    font-size: 1.4em;
-    margin-top: 15px;
-    color: #FFFFFF;
-    box-shadow: 0px 0px 15px #FFD700;
+  background: rgba(0,0,0,0.7);
+  border-radius: 15px;
+  padding: 20px;
+  font-size: 1.4em;
+  color: #FFFFFF;
+  box-shadow: 0 0 15px #FFD700;
+  margin-top: 15px;
 }
 """) as demo:
 
     gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
-    gr.HTML("<div id='subtitle'>Multi‑format AI vs Human Divination ✨ Text · Image · Voice · PDF</div>")
-
-    gr.Markdown("""
-👋 **Welcome Seeker!**
-
-The Oracle peers into your offering and reveals whether it was **AI‑crafted 🤖** or **human‑made 🧑‍💻**.  
-Choose one of the formats below ⬇️
-
-👉 Paste text, upload an image, speak aloud, or offer a PDF.  
-""")
-
-    with gr.Tab("📜 Text Divination"):
-        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 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 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 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", 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)
+    gr.HTML("<div id='subtitle'>Offer your text and receive a glowing prophecy ✨</div>")
+
+    txt_in = gr.Textbox(lines=8, label="📝 Your Text", placeholder="Paste an essay, blog, or message…")
+    btn = gr.Button("✨ Reveal Prophecy", variant="primary")
+    txt_out = gr.Markdown(elem_classes="result-box")
+
+    btn.click(oracle_text, inputs=txt_in, outputs=txt_out)
+
+    gr.Examples(
+        examples=[
+            ["Once upon a time in a galaxy far away…"],
+            ["Artificial Intelligence is reshaping industries globally 🌍"],
+            ["LOL can't believe it's Monday again 😅"],
+            ["This manuscript evaluates Transformer models for classification."]
+        ],
+        inputs=txt_in,
+    )
 
 demo.launch()