feat: add API names to prediction functions and update README title for clarity

README.md

@@ -1,5 +1,5 @@
 ---
-title: Deepfake Detection & Forensics Tools
+title: MCP Toolkit - Deepfake Detection & Forensics
 description: MCP Server for Deepfake Detection & Digital Forensics Tools
 emoji: 🚑
 colorFrom: yellow

app_mcp.py

@@ -532,7 +532,8 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
                 predict_button.click(
                     fn=predict_image_with_json, 
                     inputs=inputs, 
-                    outputs=outputs
+                    outputs=outputs,
+                    api_name="Infer: Full Predict"
                 )
                 augment_button.click(  # Connect Augment button to the function
                     fn=predict_image_with_json, 
@@ -544,7 +545,8 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
                         noise_slider, 
                         sharpen_slider
                     ], 
-                    outputs=outputs
+                    outputs=outputs,
+                    api_name="Infer: Augment then Predict"
                 )
             with gr.Tab("🙈 Project Introduction"):
                 gr.Markdown(QUICK_INTRO)
@@ -561,7 +563,8 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
                     inputs=[gr.Image(type="pil"), gr.Slider(1, 32, value=8, step=1, label="Block Size")],
                     outputs=gr.Image(type="pil"),
                     title="Wavelet-Based Noise Analysis",
-                    description="Analyzes image noise patterns using wavelet decomposition. This tool helps detect compression artifacts and artificial noise patterns that may indicate image manipulation. Higher noise levels in specific regions can reveal areas of potential tampering."
+                    description="Analyzes image noise patterns using wavelet decomposition. This tool helps detect compression artifacts and artificial noise patterns that may indicate image manipulation. Higher noise levels in specific regions can reveal areas of potential tampering.",
+                    api_name="Tool: Wavelet Noise Estimation"
                 )
 
 
@@ -576,7 +579,8 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
                     ],
                     outputs=gr.Image(type="pil"),
                     title="Bit Plane Analysis",
-                    description="Extracts and visualizes individual bit planes from different color channels. This forensic tool helps identify hidden patterns and artifacts in image data that may indicate manipulation. Different bit planes can reveal inconsistencies in image processing or editing."
+                    description="Extracts and visualizes individual bit planes from different color channels. This forensic tool helps identify hidden patterns and artifacts in image data that may indicate manipulation. Different bit planes can reveal inconsistencies in image processing or editing.",
+                    api_name="Tool: Bitplane Extractor"
                 )
             # with gr.Tab("EXIF Full Dump"):
             #     gr.Interface(
@@ -598,4 +602,4 @@ if __name__ == "__main__":
         private=False, # Keep your dataset private
         token=os.getenv("HF_TOKEN") # Uncomment and set if token is not saved globally
     ) as scheduler:
-        demo.launch(share=True, mcp_server=True)
+        demo.launch(share=True)