BMC bug fix
Browse files
app.py
CHANGED
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@@ -76,7 +76,20 @@ def main():
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st.title("Image Classification")
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st.write("This is a simple web app to test and compare different image classifier models using Hugging Face's image-classification pipeline.")
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st.write("From time to time more models will be added to the list. If you want to add a model, please open an issue on the GitHub repository.")
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input_image = st.file_uploader("Upload Image")
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shosen_model = st.selectbox("Select the model to use", MODELS)
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@@ -84,11 +97,11 @@ def main():
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if input_image is not None:
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image_to_classify = Image.open(input_image)
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st.image(image_to_classify, caption="Uploaded Image"
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if st.button("Classify"):
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image_to_classify = Image.open(input_image)
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classification_obj1 =[]
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avable_models = st.selectbox
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classification_result = classify(image_to_classify, shosen_model)
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classification_obj1.append(classification_result)
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st.title("Image Classification")
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st.write("This is a simple web app to test and compare different image classifier models using Hugging Face's image-classification pipeline.")
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st.write("From time to time more models will be added to the list. If you want to add a model, please open an issue on the GitHub repository.")
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# Buy me a Coffee Setup
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bmc_link = "https://www.buymeacoffee.com/nuno.tome"
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image_url = "https://helloimjessa.files.wordpress.com/2021/06/bmc-button.png?w=150" # Image URL
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image_size = "150px" # Image size
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#image_link_markdown = f"<img src='{image_url}' width='25%'>"
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image_link_markdown = f"[]({bmc_link})"
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#image_link_markdown = f"[]({bmc_link})" # Create a clickable image link
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st.markdown(image_link_markdown, unsafe_allow_html=True) # Display the image link
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# Buy me a Coffee Setup
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#st.markdown("<img src='https://helloimjessa.files.wordpress.com/2021/06/bmc-button.png?w=1024' width='15%'>", unsafe_allow_html=True)
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input_image = st.file_uploader("Upload Image")
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shosen_model = st.selectbox("Select the model to use", MODELS)
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if input_image is not None:
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image_to_classify = Image.open(input_image)
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st.image(image_to_classify, caption="Uploaded Image")
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if st.button("Classify"):
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image_to_classify = Image.open(input_image)
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classification_obj1 =[]
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#avable_models = st.selectbox
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classification_result = classify(image_to_classify, shosen_model)
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classification_obj1.append(classification_result)
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