Create app.py

app.py

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+import gradio as gr
+from transformers import AutoProcessor, PaliGemmaForConditionalGeneration
+from peft import PeftModel
+import spaces
+
+@spaces.GPU
+def greet(image, prompt):
+    base_model = PaliGemmaForConditionalGeneration.from_pretrained("google/paligemma-3b-mix-224")
+    processor = AutoProcessor.from_pretrained("google/paligemma-3b-mix-224")
+    model = PeftModel(base_model, "/folders")
+    inputs = processor(prompt, raw_image, return_tensors="pt")
+    output = model.generate(**inputs, max_new_tokens=20)
+    return output
+
+demo = gr.Interface(fn=greet, inputs=[gr.Image(label="Upload image", sources=['upload', 'webcam'], type="pil"), gr.Text()], outputs="text")
+demo.launch()