first test model complete and tested locally

README.md

@@ -11,3 +11,23 @@ license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+```bash
+conda env create --force -f environment.yml
+```
+then
+```
+pip install -r requirements.txt
+```
+
+but it might be better to run
+```
+~/miniconda3/envs/atak_peer/bin/pip install -r requirements.txt
+```
+
+and also use python from here:
+```
+~/miniconda3/envs/atak_peer/bin/python3
+```
+
+

app.py

@@ -1,7 +1,19 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['cat.jpeg', 'dog.jpeg', 'catdog.jpeg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 iface.launch()

environment.yml

@@ -0,0 +1,9 @@
+name: minimal
+channels:
+  - defaults
+dependencies:
+  - ipywidgets
+  - pip:
+    - gradio
+    - fastai
+prefix: ~/miniconda3/envs/minimal