update

CFA.py

@@ -144,7 +144,7 @@ def build_demo():
         gr.Markdown(
             "Analyzes artifacts introduced during the camera's raw image processing. Inconsistencies in the **Color Filter Array (CFA)** interpolation pattern can reveal areas that have been spliced from another image or copy-pasted within the same image (copy-move).\n"
             "\n"
-            "**Instructions:**\n"
+            "## Instructions:\n"
             "1. **Upload** an image.\n"
             "2. **Click** anywhere on the image to move the 128x128 selection box.\n"
             "3. Press the **Analyze Region** button to start processing."

JPEG_Ghost.py

@@ -103,7 +103,7 @@ def build_demo():
         gr.Markdown(
             "Detects forgeries by identifying regions within an image that were compressed with different **JPEG Quality Factors (QF)**. When an area from a different JPEG image is spliced in, it often carries the 'ghost' of its original compression level, which this tool can reveal. NOTE: This tool AUTOMATICALLY SIMULATE THE JPEG GHOST BY RECOMPRESSING THE SELECTED AREA. \n"
             "\n"
-            "**Instructions:**\n"
+            "## Instructions:\n"
             "1. **Upload** an image.\n"
             "2. **Click** on the image to move the 256x256 selection box.\n"
             "3. Press **Analyze Image** to process the selected region."

PRNU.py

@@ -26,7 +26,7 @@ This tool analyzes an image to detect potential manipulations using Photo-Respon
 
 ![Diagram of the PRNU process](https://www.researchgate.net/profile/Feyisetan-Ojerinde/publication/323982885/figure/fig1/AS:607997380104192@1521971778119/Block-diagram-of-PRNU-based-source-camera-identification-process.png)
 
-"**Instructions:**"
+## Instructions:
 1.  Upload the camera's fingerprint file (`.dat` format).
 2.  Upload the JPG/PNG image you want to analyze.
 3.  Click **Submit** and view the resulting PCE map.