upload pickled model and call it during inference

app.py

@@ -1,13 +1,11 @@
 import os
 from huggingface_hub import from_pretrained_fastai
-
+from fastai.vision.all import *
 import gradio as gr
 from gradio.components import Image
 from gradio import Label
 
-SECRET_TOKEN = os.getenv("SECRET_TOKEN")
-repo_id = "artificeresearch/spiritvision"
-learner = from_pretrained_fastai(repo_id)
+learner = load_learner('model.pkl')
 labels = learner.dls.vocab
 
 

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7424eb5cd09cf7d32c11035cfa43fb56d242e250445048d134e61b3645d6ffd
+size 102878171