Create app.py

app.py

@@ -0,0 +1,21 @@
+import torch
+from transformers import AutoProcessor,AutoModelForCausalLM
+import gradio as gr 
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+def generate_caption(image,length):
+  encoded=processor(images=image, return_tensors="pt").to(device)
+  pixels=encoded['pixel_values'].to(device)
+  with torch.no_grad():
+    generated_ids=model.generate(pixel_values=pixels,max_length=length)
+  generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+  return generated_caption 
+demo=gr.Interface(
+    generate_caption,
+    [
+        gr.Image(type='pil',flagging_options=["blurry", "incorrect", "other"]),
+        gr.Slider(10,50,value=10)
+    ],
+      'label',
+      theme=gr.themes.Soft(primary_hue='purple',secondary_hue=gr.themes.colors.gray)
+)
+demo.launch()