Update app.py
Browse files
app.py
CHANGED
@@ -53,69 +53,32 @@ def preprocess_clinical_data(age, height, weight, reported_cough_dur, heart_rate
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def main():
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st.title('TB Cough Sound Analysis')
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st.session_state['page'] = page
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st.write('**Step 1: Upload Cough Sound Recording**')
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audio_file = st.file_uploader("Upload a cough sound recording", type=['wav', 'mp3'])
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if audio_file is not None:
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st.audio(audio_file)
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st.session_state['audio_file'] = audio_file
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if st.button('Next'):
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st.session_state['page'] = 1
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elif page == 1:
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st.write('**Step 2: Enter Clinical Data**')
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age = st.
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height = st.
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weight = st.
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reported_cough_dur = st.
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heart_rate = st.
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temperature = st.
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sex = st.radio('Sex', ['Male', 'Female'])
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tb_prior = st.selectbox('TB Prior', ['No', 'Not sure', 'Yes'])
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tb_prior_Pul = st.selectbox('TB Prior - Pulmonary', ['No', 'Yes'])
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tb_prior_Extrapul = st.selectbox('TB Prior - Extrapulmonary', ['No', 'Yes'])
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tb_prior_Unknown = st.selectbox('TB Prior - Unknown', ['No', 'Yes'])
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hemoptysis = st.selectbox('Hemoptysis', ['No', 'Yes'])
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weight_loss = st.selectbox('Weight Loss', ['No', 'Yes'])
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smoke_lweek = st.selectbox('Smoking Last Week', ['No', 'Yes'])
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fever = st.selectbox('Fever', ['No', 'Yes'])
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night_sweats = st.selectbox('Night Sweats', ['No', 'Yes'])
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if st.button('
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elif page == 2:
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st.write('**Step 3: Review Input Data**')
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st.write('**Clinical Data:**')
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st.write(f"- Age: {age}")
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st.write(f"- Height: {height} cm")
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st.write(f"- Weight: {weight} kg")
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st.write(f"- Reported Cough Duration: {reported_cough_dur} days")
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st.write(f"- Heart Rate: {heart_rate} bpm")
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st.write(f"- Temperature: {temperature} °C")
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st.write(f"- Sex: {sex}")
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st.write(f"- TB Prior: {tb_prior}")
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st.write(f"- TB Prior - Pulmonary: {tb_prior_Pul}")
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st.write(f"- TB Prior - Extrapulmonary: {tb_prior_Extrapul}")
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st.write(f"- TB Prior - Unknown: {tb_prior_Unknown}")
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st.write(f"- Hemoptysis: {hemoptysis}")
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st.write(f"- Weight Loss: {weight_loss}")
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st.write(f"- Smoking Last Week: {smoke_lweek}")
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st.write(f"- Fever: {fever}")
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st.write(f"- Night Sweats: {night_sweats}")
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if st.button('Next'):
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st.session_state['page'] = 3
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elif page == 3:
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st.write('**Step 4: Prediction**')
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if 'audio_file' in st.session_state:
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audio_data = preprocess_audio(st.session_state['audio_file'])
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clinical_data = preprocess_clinical_data(age, height, weight, reported_cough_dur, heart_rate, temperature,
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sex, tb_prior, tb_prior_Pul, tb_prior_Extrapul, tb_prior_Unknown, hemoptysis, weight_loss, smoke_lweek, fever,
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night_sweats)
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@@ -136,11 +99,6 @@ def main():
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st.write('**Prediction:**')
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st.write(f"{prediction_text}")
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st.write(f"{probability_label}: {result}")
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else:
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st.error('Please upload an audio file.')
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if st.button('Previous'):
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st.session_state['page'] = 2
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if __name__ == '__main__':
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main()
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def main():
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st.title('TB Cough Sound Analysis')
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st.write('**Step 1: Upload Cough Sound Recording**')
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audio_file = st.file_uploader("Upload a cough sound recording", type=['wav', 'mp3'])
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if audio_file is not None:
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st.audio(audio_file)
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st.write('**Step 2: Enter Clinical Data**')
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age = st.slider('Age', min_value=0, max_value=100, value=30, step=1)
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height = st.slider('Height (in cm)', min_value=0.0, max_value=300.0, value=170.0, step=0.1)
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weight = st.slider('Weight (in kg)', min_value=0.0, max_value=200.0, value=70.0, step=0.1)
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reported_cough_dur = st.slider('Reported Cough Duration (in days)', min_value=0, max_value=100, value=10, step=1)
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heart_rate = st.slider('Heart Rate (beats per minute)', min_value=0, max_value=200, value=80, step=1)
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temperature = st.slider('Body Temperature (in °C)', min_value=0.0, max_value=40.0, value=37.0, step=0.1)
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sex = st.radio('Sex', ['Male', 'Female'])
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tb_prior = st.selectbox('TB Prior', ['No', 'Not sure', 'Yes'], index=0)
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tb_prior_Pul = st.selectbox('TB Prior - Pulmonary', ['No', 'Yes'], index=0)
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tb_prior_Extrapul = st.selectbox('TB Prior - Extrapulmonary', ['No', 'Yes'], index=0)
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tb_prior_Unknown = st.selectbox('TB Prior - Unknown', ['No', 'Yes'], index=0)
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hemoptysis = st.selectbox('Hemoptysis', ['No', 'Yes'], index=0)
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weight_loss = st.selectbox('Weight Loss', ['No', 'Yes'], index=0)
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smoke_lweek = st.selectbox('Smoking Last Week', ['No', 'Yes'], index=0)
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fever = st.selectbox('Fever', ['No', 'Yes'], index=0)
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night_sweats = st.selectbox('Night Sweats', ['No', 'Yes'], index=0)
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if st.button('Predict'):
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audio_data = preprocess_audio(audio_file)
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clinical_data = preprocess_clinical_data(age, height, weight, reported_cough_dur, heart_rate, temperature,
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sex, tb_prior, tb_prior_Pul, tb_prior_Extrapul, tb_prior_Unknown, hemoptysis, weight_loss, smoke_lweek, fever,
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night_sweats)
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st.write('**Prediction:**')
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st.write(f"{prediction_text}")
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st.write(f"{probability_label}: {result}")
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if __name__ == '__main__':
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main()
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