Update app.py

app.py

@@ -3,30 +3,6 @@ import gradio as gr
 from PIL import Image
 import numpy as np
 import os
-from face_cropper import detect_and_label_faces
-# Define a custom function to convert an image to grayscale
-def to_grayscale(input_image):
-    grayscale_image = Image.fromarray(np.array(input_image).mean(axis=-1).astype(np.uint8))
-    return grayscale_image
-
-
-description_markdown = """
-# Fake Face Detection tool from TrustWorthy BiometraVision Lab IISER Bhopal
-## Usage
-This tool expects a face image as input. Upon submission, it will process the image and provide an output with bounding boxes drawn on the face. Alongside the visual markers, the tool will give a detection result indicating whether the face is fake or real.
-## Disclaimer
-Please note that this tool is for research purposes only and may not always be 100% accurate. Users are advised to exercise discretion and supervise the tool's usage accordingly.
-## Licensing and Permissions
-This tool has been developed solely for research and demonstrative purposes. Any commercial utilization of this tool is strictly prohibited unless explicit permission has been obtained from the developers.
-## Developer Contact
-For further inquiries or permissions, you can reach out to the developer through the following social media accounts:
-- [LAB Webpage](https://sites.google.com/iiitd.ac.in/agarwalakshay/labiiserb?authuser=0)
-- [LinkedIn](https://www.linkedin.com/in/shivam-shukla-0a50ab1a2/)
-- [GitHub](https://github.com/SaShukla090)
-"""
-
-
-
 
 # Create the Gradio app
 app = gr.Interface(