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Browse files- examples.py +3 -1
examples.py
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@@ -13,12 +13,13 @@ def app():
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OpenAI's CLIP, our training choices and quality datasets led to impressive results!
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Here, we collected few of **the most impressive text-image associations** learned by our model.
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Remember you can head to the **Text to Image** section of the demo at any time to test your own
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"""
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st.markdown("### 1. Actors in Scenes")
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st.subheader("una coppia")
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st.markdown("*a couple*")
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@@ -38,6 +39,7 @@ def app():
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st.image("static/img/examples/couple_3.jpeg")
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st.markdown("### 2. Dresses")
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col1, col2 = st.beta_columns(2)
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col1.subheader("un vestito primavrile")
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OpenAI's CLIP, our training choices and quality datasets led to impressive results!
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Here, we collected few of **the most impressive text-image associations** learned by our model.
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Remember you can head to the **Text to Image** section of the demo at any time to test your own🤌 Italian queries!
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"""
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)
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st.markdown("### 1. Actors in Scenes")
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st.markdown("These examples comes from the CC dataset")
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st.subheader("una coppia")
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st.markdown("*a couple*")
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st.image("static/img/examples/couple_3.jpeg")
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st.markdown("### 2. Dresses")
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st.markdown("These examples comes from the Unsplash dataset")
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col1, col2 = st.beta_columns(2)
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col1.subheader("un vestito primavrile")
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