Update app.py
Browse files
app.py
CHANGED
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@@ -1,9 +1,19 @@
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import streamlit as st
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from utils import validate_sequence, predict
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from model import models
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def main():
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st.title("AA Property Inference Demo")
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# User input: Text and CSV
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sequence = st.text_input("Enter your amino acid sequence:")
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@@ -21,15 +31,16 @@ def main():
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model_results = {}
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for model_name, model in models.items():
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prediction, confidence = predict(model, seq)
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model_results[model_name] =
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results.append({"Sequence": seq, **model_results})
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else:
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st.error(f"Invalid sequence: {seq}")
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if results:
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st.write("### Results")
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if __name__ == "__main__":
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main()
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import streamlit as st
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from utils import validate_sequence, predict
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from model import models
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import pandas as pd
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def main():
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st.title("AA Property Inference Demo", anchor=None)
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# Apply monospace font to the entire app
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st.markdown("""
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<style>
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.reportview-container {
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font-family: 'Courier New', monospace;
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}
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</style>
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""", unsafe_allow_html=True)
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# User input: Text and CSV
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sequence = st.text_input("Enter your amino acid sequence:")
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model_results = {}
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for model_name, model in models.items():
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prediction, confidence = predict(model, seq)
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model_results[f"{model_name}_prediction"] = prediction
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model_results[f"{model_name}_confidence"] = round(confidence, 3)
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results.append({"Sequence": seq, **model_results})
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else:
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st.error(f"Invalid sequence: {seq}")
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if results:
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st.write("### Results")
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results_df = pd.DataFrame(results)
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st.dataframe(results_df.style.format(precision=3))
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if __name__ == "__main__":
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main()
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