Create README.md

README.md

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+Title: Face Swapping with InsightFace
+
+Description:
+
+This Python application utilizes Hugging Face's InsightFace library to swap faces between two images. It leverages pre-trained models for face detection and face swapping, allowing for easy experimentation.
+
+Features:
+
+    Detects faces in two separate images.
+    Swaps the detected faces between the images.
+    Optionally displays the original and swapped images for visual verification.
+
+Requirements:
+
+    Python (tested with version 3.x)
+    Hugging Face Transformers library
+    InsightFace library (installable via pip install insightface)
+    OpenCV-Python (for image processing)
+    matplotlib (for plotting)
+    NumPy (for numerical operations)
+
+Installation:
+
+    Create a virtual environment (recommended) to isolate project dependencies.
+
+    Install the required libraries using pip:
+    Bash
+
+    pip install -r requirements.txt
+
+    Usa el código con precaución.
+
+    Note: Create a requirements.txt file in your project directory with the list of requirements mentioned above.
+
+Usage:
+
+    Save two images (image1.jpg and image2.jpg) in the same directory as your script (app.py).
+
+    Run the script from the terminal:
+    Bash
+
+    python app.py
+
+    Usa el código con precaución.
+
+Explanation of the Code (app.py):
+
+The provided code defines functions for:
+
+    Initializing the FaceAnalysis application and face swapper model.
+    Reading images and detecting faces.
+    Swapping faces and optionally displaying the results.
+
+Further Customization:
+
+    Modify the swap_n_show function to customize the plotting behavior or add functionalities like saving the swapped images.
+    Explore other functionalities offered by InsightFace for advanced face manipulation tasks.
+
+Contributing:
+
+Feel free to submit pull requests for bug fixes or improvements to this code.
+
+License:
+
+[Specify the license you want to use for your code, e.g., MIT License]