Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import pipeline
+
+image_to_text = pipeline("image-to-text", model="nlpconnect/vit-gpt2-image-captioning")
+
+
+def generate_caption(img):
+  caption = image_to_text(img)
+  return caption[0]['generated_text']
+
+
+demo = gr.Interface(
+    fn = generate_caption,
+    inputs = gr.Image(type = 'filepath'),
+    outputs = gr.Textbox(lines = 2),
+)
+demo.launch()