Update app.py

app.py

@@ -1,5 +1,36 @@
+import re 
 import gradio as gr
+from PIL import Image
+from transformers import AutoProcessor, AutoModelForCausalLM
 
-gr.Interface.load("models/nkasmanoff/git-planet").launch()
-input = gr.inputs.Image(label="Upload your Image", type = 'pil', optional=True)
-output = gr.outputs.Textbox(type="auto",label="Captions")
+
+device='cpu'
+
+processor = AutoProcessor.from_pretrained("microsoft/git-base")
+model = AutoModelForCausalLM.from_pretrained("microsoft/git-base").to(device)
+
+
+
+def predict(image,max_length=64,device='cpu'):
+    pixel_values = processor(images=image, return_tensors="pt").to(device).pixel_values
+    generated_ids = model.generate(pixel_values=pixel_values, max_length=max_length)
+    generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+
+  return generated_caption 
+
+
+
+input = gr.inputs.Image(label="Upload your Image", type = 'jpg', optional=True)
+output = gr.outputs.Textbox(type="auto",label="Captions")
+
+
+title = "Image Captioning"
+
+interface = gr.Interface(
+        fn=predict,
+        inputs = input,
+        theme="grass",
+        outputs=output,
+        title=title,
+    )
+interface.launch(debug=True)