Update app.py

app.py

@@ -6,7 +6,7 @@ custom_css = """
 .gradio-container {
     max-width: 1400px !important;
 }
-#component-0, #component-1, #component-2 {
+#component-0, #component-1, #component-2, #component-3 {
     min-height: 500px !important;
 }
 .output-class {
@@ -19,10 +19,10 @@ custom_css = """
 }
 """
 
-title="EfficientNetV2 Deepfakes Video Detector"
-description="EfficientNetV2 Deepfakes Image Detector by using frame-by-frame detection."
+title = "EfficientNetV2 Deepfakes Video Detector"
+description = "EfficientNetV2 Deepfakes Image Detector by using frame-by-frame detection."
 
-# Image Interface with larger components
+# ── Image Interface ───────────────────────────────────────────────────────────
 image_interface = gr.Interface(
     fn=pipeline.deepfakes_image_predict,
     inputs=gr.Image(label="Upload Image", height=500),
@@ -33,7 +33,7 @@ image_interface = gr.Interface(
     description="Upload an image to detect if it's real or fake"
 )
 
-# Video Interface with larger components  
+# ── Video Interface ───────────────────────────────────────────────────────────
 video_interface = gr.Interface(
     fn=pipeline.deepfakes_video_predict,
     inputs=gr.Video(label="Upload Video", height=500),
@@ -43,6 +43,8 @@ video_interface = gr.Interface(
     title="Video Deepfake Detection",
     description="Upload a video to detect if it's real or fake (frame-by-frame analysis)"
 )
+
+# ── Audio Interface ───────────────────────────────────────────────────────────
 audio_interface = gr.Interface(
     fn=pipeline.deepfakes_audio_predict,
     inputs=gr.Audio(),
@@ -50,9 +52,39 @@ audio_interface = gr.Interface(
     title="Audio Deepfake Detection"
 )
 
+# ── Text Interface ────────────────────────────────────────────────────────────
+# Uses HybridAITextDetector: DeBERTa-v3-small + BiLSTM + CNN + Transformer
+text_interface = gr.Interface(
+    fn=pipeline.deepfakes_text_predict,
+    inputs=gr.Textbox(
+        label="Input Text",
+        placeholder=(
+            "Paste any text here to check if it was written by a human or "
+            "generated by an AI (articles, essays, emails, descriptions…)"
+        ),
+        lines=10,
+    ),
+    outputs=gr.Textbox(
+        label="Detection Result",
+        lines=10,
+    ),
+    examples=[
+        ["The Eiffel Tower, constructed between 1887 and 1889, was designed by engineer Gustave Eiffel as the entrance arch for the 1889 World's Fair held in Paris."],
+        ["In the rapidly evolving landscape of artificial intelligence, large language models have demonstrated remarkable capabilities across a wide range of natural language processing tasks, achieving state-of-the-art performance on numerous benchmarks."],
+        ["Yesterday I went to the market and bought some fresh vegetables. The tomatoes looked really good so I grabbed a few extra ones for the pasta sauce I was planning to make for dinner."],
+    ],
+    cache_examples=False,
+    title="AI Text Detection",
+    description=(
+        "Paste any text to detect whether it was written by a human or generated by an AI. "
+        "Powered by a hybrid DeBERTa-v3-small + BiLSTM + CNN + Transformer model."
+    ),
+)
+
+# ── Tabbed App ────────────────────────────────────────────────────────────────
 app = gr.TabbedInterface(
-    [image_interface, video_interface, audio_interface],
-    ['Image inference', 'Video inference', 'Audio inference'],
+    [image_interface, video_interface, audio_interface, text_interface],
+    ["Image inference", "Video inference", "Audio inference", "Text inference"],
     css=custom_css
 )