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Running
on
Zero
Running
on
Zero
File size: 862 Bytes
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import gradio as gr
from uform import gen_model
from PIL import Image
# Load the model and processor
model = gen_model.VLMForCausalLM.from_pretrained("unum-cloud/uform-gen")
processor = gen_model.VLMProcessor.from_pretrained("unum-cloud/uform-gen")
def generate_caption(image, prompt):
# Process the image and the prompt
inputs = processor(text=prompt, images=image, return_tensors="pt", padding=True)
# Generate the output
outputs = model.generate(**inputs)
caption = processor.decode(outputs[0], skip_special_tokens=True)
return caption
# Define the Gradio interface
iface = gr.Interface(
fn=generate_caption,
inputs=[gr.Image(type="pil", label="Upload Image"), gr.Textbox(label="Prompt")],
outputs=gr.Textbox(label="Generated Caption"),
examples=[["jungle-glass.png", ""]]
)
# Launch the interface
iface.launch()
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