Adding TF req

app.py

@@ -7,10 +7,10 @@ sys.path.append("/hub")
 import gradio as gr
 from hub.tensorflow_hub.hf_utils import pull_from_hub
 
-# import requests
-# # Download human-readable labels for ImageNet.
-# response = requests.get("https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt")
-# labels = [x for x in response.text.split("\n") if x != ""]
+import requests
+# Download human-readable labels for ImageNet.
+response = requests.get("https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt")
+labels = [x for x in response.text.split("\n") if x != ""]
 
 model = pull_from_hub(repo_id="Dimitre/mobilenet_v3_small")
 
@@ -23,14 +23,14 @@ def preprocess(image):
     print(image / 255.)
     return image / 255.
 
-# def postprocess(prediction):
-#     return {labels[i]: prediction[i] for i in range(len(labels))}
+def postprocess(prediction):
+    return {labels[i]: prediction[i] for i in range(len(labels))}
 
 def predict_fn(image):
     image = preprocess(image)
     prediction = model([image])
-    # scores = postprocess(prediction)
-    return prediction
+    scores = postprocess(prediction)
+    return scores
 
 iface = gr.Interface(fn=predict_fn, 
                      inputs=gr.Image(shape=(224, 224)), 

requirements.txt

@@ -1 +1,2 @@
-GitPython
+GitPython
+tensorflow