Add model

.gitignore

@@ -0,0 +1,2 @@
+.idea/
+project/

README.md

@@ -10,3 +10,14 @@ pinned: false
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+Create a virtual environment: `python3 -m venv project`
+Activate virtual environment: `source project/bin/activate`
+Install project dependencies: `pip install -r requirements.txt`
+Install a new dependency: `python -m pip install fastai`
+Save to requirements file: `pip freeze > requirements.txt`
+
+brew update
+brew install git-lfs
+git lfs install

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
+from fastdownload import download_url
+from PIL import Image
+import requests
+from io import StringIO
 
-def greet(name):
-    return "Hello " + name + "!!"
+
+
+
+
+def greet(url):
+    # dest_file = 'hot_dog.jpg'
+    # download_url(url, dest_file, show_progress=False)
+    # image = PILImage.create(dest_file)
+    response = requests.get(url)
+    image = Image.open(StringIO(response.content))
+    predicted_category, _, probs = learn.predict(image)
+    # return "Hello " + name + "!!"
+    return predicted_category
 
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be1da2d9e67d5706d3b9b7df738e49eaa7850c9022e7919aa308e87add4234d7
+size 46958255

requirements.txt

@@ -0,0 +1 @@
+fastai