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d32b633
1
Parent(s):
ee4ba1a
Create app.py
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app.py
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from transformers import ViltProcessor, ViltForQuestionAnswering
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from PIL import Image
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import streamlit as st
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x = st.file_uploader("Upload Images", type=["png","jpg","jpeg"])
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if x is not None:
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st.image(Image.open(x), width=250)
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i = Image.open(x)
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question = st.text_input("Enter your question about the image ?")
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processor = ViltProcessor.from_pretrained("dandelin/vilt-b32-finetuned-vqa")
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model = ViltForQuestionAnswering.from_pretrained("dandelin/vilt-b32-finetuned-vqa")
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encoding = processor(i, question, return_tensors="pt")
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outputs = model(**encoding)
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logits = outputs.logits
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idx = logits.argmax(-1).item()
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st.write("Model replay:", model.config.id2label[idx])
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