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# BELOW 2 ROWS NOT CORRECTLY WORKING !!!!! | |
# import gradio as gr | |
# gr.load("models/Efficient-Large-Model/VILA1.5-3b").launch() | |
import gradio as gr | |
from transformers import AutoModel, AutoProcessor | |
# Load model and processor | |
model = AutoModel.from_pretrained("Efficient-Large-Model/VILA1.5-3b") | |
processor = AutoProcessor.from_pretrained("Efficient-Large-Model/VILA1.5-3b") | |
# Define function for model inference | |
def predict(input_text): | |
# Process and perform inference on input_text | |
# Note: Adapt this based on your model’s expected inputs/outputs | |
inputs = processor(text=input_text, return_tensors="pt") | |
outputs = model(**inputs) | |
return outputs.logits # or other processing based on model outputs | |
# Launch Gradio interface | |
gr.Interface( | |
fn=predict, | |
inputs="text", | |
outputs="text" | |
).launch() | |