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import os | |
import yaml | |
import numpy as np | |
from matplotlib import cm | |
import gradio as gr | |
import deeplabcut | |
import dlclibrary | |
import transformers | |
from PIL import Image, ImageColor, ImageFont, ImageDraw | |
from viz_utils import save_results_as_json, draw_keypoints_on_image, draw_bbox_w_text, save_results_only_dlc | |
from detection_utils import predict_md, crop_animal_detections, predict_dlc | |
from ui_utils import gradio_inputs_for_MD_DLC, gradio_outputs_for_MD_DLC, gradio_description_and_examples | |
# Load the model | |
model = transformers.AutoModel.from_pretrained("mwmathis/DeepLabCutModelZoo-SuperAnimal-Quadruped") | |
# Create an instance of the model | |
inference_api = transformers.InferenceAPI(model) | |
# Make a prediction with the model | |
prediction = inference_api.predict(inputs=["This is a sample input."]) | |
# Print the prediction | |
print(prediction) | |