running it locally is a good first step

README.md

@@ -1,6 +1,6 @@
 ---
-title: Hotdog Or Not
-emoji: 🐨
+title: Hotdog or Not
+emoji: 🌭
 colorFrom: purple
 colorTo: yellow
 sdk: gradio
@@ -10,4 +10,10 @@ pinned: false
 license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at <https://huggingface.co/docs/hub/spaces-config-reference>
+
+## Run locally
+
+```
+poetry run ./app.py
+```

app.py

@@ -1,8 +1,10 @@
+#!/usr/bin/env python3
+
 import gradio as gr
 from fastai.vision.all import *
 import skimage
 
-learn = load_learner("model.pkl")
+learn = load_learner("hotdog.pkl")
 
 labels = learn.dls.vocab
 
@@ -14,20 +16,17 @@ def predict(img):
 
 
 title = "Hotdog or Not?"
-description = "upload a picture of a hotdog or hamburger and be amazed!"
-article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ["siamese.jpg"]
+description = "Upload a picture of a hotdog or hamburger and be amazed!"
+examples = ["hotdog.jpg"]
 interpretation = "default"
 enable_queue = True
 
 gr.Interface(
     fn=predict,
-    inputs=gr.inputs.Image(shape=(512, 512)),
-    outputs=gr.outputs.Label(num_top_classes=3),
+    inputs=gr.components.Image(shape=(512, 512)),
+    outputs=gr.components.Label(num_top_classes=3),
     title=title,
     description=description,
-    article=article,
-    examples=examples,
+    # examples=examples,
     interpretation=interpretation,
-    enable_queue=enable_queue,
-).launch()
+).launch(enable_queue=enable_queue)

model.pkl → hotdog.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff10bf6d7eaf4c56f0d4e9640cc32af39d46d6c8fe627e020366b48926ec3653
-size 47058513
+oid sha256:7fdf86706b83a7124b708e9c09c7743c7942a655503242985b362bc43f87cf6d
+size 46952996

pyproject.toml

@@ -0,0 +1,17 @@
+[tool.poetry]
+name = "hotdog-or-not"
+version = "0.1.0"
+description = ""
+authors = ["Myers Carpenter <[email protected]>"]
+readme = "README.md"
+packages = [{include = "hotdog_or_not"}]
+
+[tool.poetry.dependencies]
+python = "^3.8"
+fastai = "^2.7.12"
+scikit-image = "^0.20.0"
+gradio = "^3.28.1"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"