Rename app.py to requirements.txt

app.py

@@ -1,22 +0,0 @@
-!pip install transformers
-
-import gradio as gr
-from transformers import pipeline
-
-
-pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog")
-
-def predict(input_img):
-  predictions = pipeline(input_img)
-  return input_img, {p["label"]: p["score"] for p in predictions}
-
-import gradio as gr
-gradio_app = gr.Interface(
-    predict,
-    inputs = gr.Image(label="select hot dot candiadate", sources=['upload', 'webcam'], type='pil'),
-    outputs = [gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="Hot Dog? or Not?"
-)
-
-if __name__ == "__main__":
-    gradio_app.launch()

requirements.txt

@@ -0,0 +1,4 @@
+
+
+transformers
+torch