Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+import transformers
+from transformers import pipeline
+
+p = pipeline("text-generation", "EleutherAI/gpt-neo-1.3B")
+
+im2caption = gr.Interface.load("spaces/akhaliq/CLIP_prefix_captioning")
+
+def im2story(img):
+    caption = im2caption(img, "COCO")
+    if caption[-1] == ".":
+        caption = caption[:-1]
+    story = p(caption)[0]["generated_text"]
+    return story
+
+gr.Interface(im2story, gr.Image(type="filepath"), "text", title="Image 2 Story").launch()