Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import spaces
 from transformers import pipeline
-import fitz  # PyMuPDF for PDF
+import fitz  # PyMuPDF for PDF reading
 
 # -------------------------------
 # Models
@@ -11,137 +11,152 @@ image_analyzer = pipeline("image-classification", model="microsoft/resnet-50")
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=-1)
 
 # -------------------------------
-# Main Oracle Function
+# Oracle Main Function
 # -------------------------------
 @spaces.GPU
 def oracle_prophecy(user_text, user_img, user_audio, user_pdf):
     prophecy = ""
 
-    # Text check
+    # Text
     if user_text and user_text.strip():
         result = text_detector(user_text)
-        label = result[0]['label']
-        score = round(result[0]['score'] * 100, 2)
+        label = result[0]["label"]
+        score = round(result[0]["score"] * 100, 2)
         prophecy += (
             f"📜 **Text Prophecy:** {score}% AI‑generated 🤖✨\n\n"
             if label.lower() == "fake"
             else f"📜 **Text Prophecy:** {score}% Human‑written 🧑‍💻\n\n"
         )
 
-    # Image check
+    # Image
     if user_img is not None:
         result = image_analyzer(user_img)
-        label = result[0]['label']
-        score = round(result[0]['score'] * 100, 2)
+        label = result[0]["label"]
+        score = round(result[0]["score"] * 100, 2)
         prophecy += f"🖼️ **Image Prophecy:** {score}% match with {label} 🌠\n\n"
 
-    # Audio check
+    # Audio
     if user_audio is not None:
         transcript = asr_pipe(user_audio)["text"]
         result = text_detector(transcript)
-        label = result[0]['label']
-        score = round(result[0]['score'] * 100, 2)
+        label = result[0]["label"]
+        score = round(result[0]["score"] * 100, 2)
         prophecy += (
             f"🔊 Transcript: *{transcript}*\n🌌 Prophecy: {score}% AI‑generated 🤖✨\n\n"
             if label.lower() == "fake"
             else f"🔊 Transcript: *{transcript}*\n☀️ Prophecy: {score}% Human‑spoken 🧑‍💻\n\n"
         )
 
-    # PDF check
+    # PDF
     if user_pdf is not None:
         doc = fitz.open(user_pdf)
         text = "".join([page.get_text() for page in doc])
         if text.strip():
             result = text_detector(text[:800])
-            label = result[0]['label']
-            score = round(result[0]['score'] * 100, 2)
+            label = result[0]["label"]
+            score = round(result[0]["score"] * 100, 2)
             prophecy += (
                 f"📑 **PDF Prophecy:** {score}% AI‑generated 🤖✨\n\n"
                 if label.lower() == "fake"
                 else f"📑 **PDF Prophecy:** {score}% Human‑authored 🧑‍💻\n\n"
             )
         else:
-            prophecy += "📑 No readable text in PDF.\n\n"
+            prophecy += "📑 PDF: ⚠️ No readable text found.\n\n"
 
     if prophecy.strip() == "":
-        prophecy = "⚠️ Please provide text, image, voice, or PDF to the Oracle."
+        prophecy = "⚠️ Please provide text, an image, a voice file, or a PDF."
 
     return prophecy
 
 # -------------------------------
-# UI Inspired by Beat‑Break
+# Gradio UI (Aligned Card Style like Beat‑Break)
 # -------------------------------
 with gr.Blocks(css="""
-/* Background */
+/* Background and Base */
 body {
   background: linear-gradient(135deg, #667eea, #764ba2);
   font-family: 'Trebuchet MS', sans-serif;
-  color: #fff !important;
-  text-align: center;
   margin: 0;
   padding: 0;
+  color: #fff;
+  text-align: center;
 }
 
-/* Title */
+/* Container to center, shrink width */
+.container {
+  max-width: 900px;
+  margin: 0 auto;
+  padding: 20px;
+}
+
+/* Title + Subtitle */
 #title {
   font-size: 3em !important;
   color: #FFD700 !important;
-  text-shadow: 2px 2px 8px #000 !important;
-  margin: 20px 0;
+  text-shadow: 2px 2px 8px #000;
+  margin-bottom: 10px;
 }
-
-/* Subtitle */
 #subtitle {
   font-size: 1.5em !important;
   color: #E0FFFF !important;
   margin-bottom: 30px;
 }
 
-/* Input labels + fields */
+/* Inputs */
 label {
-  font-size: 1.3em !important;
+  font-size: 1.2em !important;
   color: #fff !important;
 }
 textarea, input, .gr-textbox {
   font-size: 1.2em !important;
 }
+audio, .gr-file, .gr-image {
+  margin-bottom: 20px;
+}
 
-/* Big button style */
+/* Button */
 button {
-  font-size: 1.4em !important;
+  font-size: 1.3em !important;
   padding: 12px 28px !important;
   border-radius: 12px !important;
   background: linear-gradient(90deg, #ff8a00, #e52e71) !important;
   color: #fff !important;
   font-weight: bold !important;
   border: none !important;
+  margin-top: 20px;
+}
+button:hover {
+  opacity: 0.9;
+  box-shadow: 0 0 20px #FFD700;
 }
 
 /* Result Box */
 .result-box {
-  background: rgba(255, 255, 255, 0.95) !important;
-  border-radius: 20px !important;
-  padding: 30px !important;
-  margin-top: 30px !important;
-  font-size: 1.5em !important;
-  color: #222 !important;
-  box-shadow: 0px 4px 20px rgba(0,0,0,0.4) !important;
-  text-align: left !important;
-  white-space: pre-line !important;
+  background: #fff;
+  border-radius: 20px;
+  padding: 25px;
+  margin: 30px auto;
+  font-size: 1.4em;
+  color: #222;
+  box-shadow: 0px 6px 20px rgba(0,0,0,0.4);
+  text-align: left;
+  white-space: pre-line;
 }
 """) as demo:
 
-    gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
-    gr.HTML("<div id='subtitle'>✨ Offer Text · Image · Voice · PDF to Reveal the Prophecy ✨</div>")
+    with gr.Column(elem_classes="container"):
+        gr.HTML("<div id='title'>🔮 Oracle of Truth 🔮</div>")
+        gr.HTML("<div id='subtitle'>✨ Offer Text · Image · Voice File · PDF ✨</div>")
 
-    txt_in = gr.Textbox(lines=4, label="📜 Text Offering")
-    img_in = gr.Image(type="filepath", label="🖼️ Image Offering")
-    aud_in = gr.Audio(sources=["microphone"], type="filepath", label="🔊 Voice Offering")
-    pdf_in = gr.File(file_types=[".pdf"], label="📑 PDF Offering")
+        txt_in = gr.Textbox(lines=4, label="📜 Text Offering")
+        img_in = gr.Image(type="filepath", label="🖼️ Image Offering")
+        # VOICE: file upload only
+        aud_in = gr.File(file_types=[".wav", ".mp3"], label="🔊 Voice File Offering")
+        pdf_in = gr.File(file_types=[".pdf"], label="📑 PDF Offering")
 
-    btn = gr.Button("✨ Reveal Prophecy")
-    output = gr.HTML(elem_classes="result-box")
+        btn = gr.Button("✨ Reveal Prophecy")
+        output = gr.HTML(elem_classes="result-box")
 
-    btn.click(oracle_prophecy, [txt_in, img_in, aud_in, pdf_in], output)
+        btn.click(oracle_prophecy, [txt_in, img_in, aud_in, pdf_in], output)
 
 demo.launch()