remove .h5 file from app, use hf_hub instead

app.py

@@ -1,7 +1,10 @@
 import tensorflow as tf
+from huggingface_hub import hf_hub_download
 import gradio as gr
 
-model = tf.keras.models.load_model('tf_model.h5')
+tf_model = hf_hub_download(repo_id='mikachou/dog-breed-classifier', filename='tf_model.h5')
+
+model = tf.keras.models.load_model(tf_model)
 print(model.summary())
 
 dogs_breeds = ['Chihuahua',

requirements.txt

@@ -18,6 +18,7 @@ cryptography==37.0.2
 cycler==0.11.0
 fastapi==0.78.0
 ffmpy==0.3.0
+filelock==3.7.1
 flatbuffers==1.12
 fonttools==4.33.3
 frozenlist==1.3.0
@@ -30,6 +31,7 @@ gradio==3.0.20
 grpcio==1.47.0
 h11==0.13.0
 h5py==3.7.0
+huggingface-hub==0.8.1
 idna==3.3
 importlib-metadata==4.12.0
 Jinja2==3.1.2
@@ -66,6 +68,7 @@ pyparsing==3.0.9
 python-dateutil==2.8.2
 python-multipart==0.0.5
 pytz==2022.1
+PyYAML==6.0
 requests==2.28.0
 requests-oauthlib==1.3.1
 rsa==4.8
@@ -79,6 +82,7 @@ tensorflow==2.8.2
 tensorflow-estimator==2.8.0
 tensorflow-io-gcs-filesystem==0.26.0
 termcolor==1.1.0
+tqdm==4.64.0
 typing_extensions==4.2.0
 uc-micro-py==1.0.1
 urllib3==1.26.9

tf_model.h5

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:73e923c10641dbb68b7c19eff7f91609a93a6f21724ce2d6c4094f4e2e5b5293
-size 363489560