app.py

# Import the libraries
import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from tensorflow.keras.models import load_model # type: ignore
from tensorflow.keras.preprocessing.image import load_img, img_to_array # type: ignore
from tensorflow.keras.applications.convnext import preprocess_input # type: ignore
import gradio as gr

# Define the Gradio interface
interface = gr.Interface(
    fn=make_prediction,           # Function to be called for predictions
    inputs=gr.Image(type="pil"),  # Input type: Image (PIL format)
    outputs="html",               # Output type: HTML for formatting
    title="Amazon arboreal species classification",
    description="Upload an image to classify the species."
)

# Launch the Gradio interface
interface.launch()