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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Image Classifier Interface Load Main
-emoji: 💩
-colorFrom: gray
-colorTo: purple
+title: image_classifier_interface_load_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.6
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1 @@
+https://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

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+import gradio as gr
+import pathlib
+
+current_dir = pathlib.Path(__file__).parent
+
+images = [str(current_dir / "cheetah1.jpeg"), str(current_dir / "cheetah1.jpg"), str(current_dir / "lion.jpg")]
+
+
+img_classifier = gr.Interface.load(
+    "models/google/vit-base-patch16-224", examples=images, cache_examples=False
+)
+
+
+def func(img, text):
+    return img_classifier(img), text
+
+
+using_img_classifier_as_function = gr.Interface(
+    func,
+    [gr.Image(type="filepath"), "text"],
+    ["label", "text"],
+    examples=[
+        [str(current_dir / "cheetah1.jpeg"), None],
+        [str(current_dir / "cheetah1.jpg"), "cheetah"],
+        [str(current_dir / "lion.jpg"), "lion"],
+    ],
+    cache_examples=False,
+)
+demo = gr.TabbedInterface([using_img_classifier_as_function, img_classifier])
+
+if __name__ == "__main__":
+    demo.launch()