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import gradio as gr | |
import torch | |
from transformers import BitsAndBytesConfig, pipeline | |
# Load model directly | |
model_id = "marianna13/llava-phi-2-3b" | |
pipe = pipeline("image-to-text", model=model_id, trust_remote_code=True) | |
def generate_text(image): | |
max_new_tokens = 200 | |
prompt = "USER: <image>\nWhat are the things I should be cautious about when I visit this place?\nASSISTANT:" | |
outputs = pipe(image, prompt=prompt, generate_kwargs={"max_new_tokens": 200}) | |
return outputs[0]["generated_text"] | |
iface = gr.Interface(fn=generate_text, inputs=gr.inputs.Image(), outputs="text") | |
iface.launch() |