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image from hf
Browse files
app.py
CHANGED
@@ -121,13 +121,16 @@ if submitted:
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st.write("You have voted for all the images")
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st.stop()
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# https://huggingface.co/datasets/aifred-smart-life-coach/capstone-images/resolve/main/kaggle-human-segmentation-dataset/Women%20I/img/woman_image_200.jpg
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print(image_path)
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image_url = f"https://huggingface.co/datasets/aifred-smart-life-coach/capstone-images/resolve/main/{image_path}"
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# url has whitespace, replace it with %20
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image_url = image_url.replace(" ", "%20")
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print(image_url)
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st.image(image_url, width=300)
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st.markdown(f'<img src="{image_url}">', unsafe_allow_html=True)
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gender = st.selectbox("Gender", [
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"Male",
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"Female",
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st.write("You have voted for all the images")
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st.stop()
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# https://huggingface.co/datasets/aifred-smart-life-coach/capstone-images/resolve/main/kaggle-human-segmentation-dataset/Women%20I/img/woman_image_200.jpg
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# print(image_path)
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# image_url = f"https://huggingface.co/datasets/aifred-smart-life-coach/capstone-images/resolve/main/{image_path}"
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# # url has whitespace, replace it with %20
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# image_url = image_url.replace(" ", "%20")
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# print(image_url)
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# st.image(image_url, width=300)
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# st.markdown(f'<img src="{image_url}">', unsafe_allow_html=True)
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path = hfh.hf_hub_download(repo_id="aifred-smart-life-coach/capstone-images", repo_type="dataset",filename=image_path, token=os.environ.get("hf_token"))
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st.image(path, width=300)
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gender = st.selectbox("Gender", [
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"Male",
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"Female",
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