app.py

import streamlit as st
import requests

# API processing function
def analyze_blood_test(file, username, password, language='English'):
    url = 'https://app.aibloodtestinterpret.com/api/analyze'
    files = {'file': (file.name, file, 'multipart/form-data')}
    data = {'username': username, 'password': password, 'language': language}
    response = requests.post(url, files=files, data=data)
    
    return response

# Main function for the Streamlit app
def main():
    # Custom CSS styling for the app
    st.markdown(
        """
        <style>
            body {
                font-family: Arial, sans-serif;
                background-color: #f8f9fa;
                color: #343a40;
            }
            .main {
                background-color: #ffffff;
                padding: 2rem;
                border-radius: 0.5rem;
                box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.1);
            }
            h1 {
                color: #007bff;
                font-size: 2.5rem;
                text-align: center;
                margin-bottom: 2rem;
            }
            h2, h3, h4 {
                color: #0056b3;
            }
            .sidebar .sidebar-content {
                background-color: #e9ecef;
                padding: 2rem;
                border-radius: 0.5rem;
            }
            .stButton>button {
                background-color: #007bff;
                color: white;
                border-radius: 0.25rem;
                padding: 0.75rem 1.5rem;
                font-size: 1rem;
                cursor: pointer;
            }
            .stButton>button:hover {
                background-color: #0056b3;
            }
            .stDownloadButton>button {
                background-color: #28a745;
                color: white;
                border-radius: 0.25rem;
                padding: 0.75rem 1.5rem;
                font-size: 1rem;
                cursor: pointer;
            }
            .stDownloadButton>button:hover {
                background-color: #218838;
            }
        </style>
        """, 
        unsafe_allow_html=True
    )
    
    # App main content
    st.markdown(
        """
        <div style="text-align: center; margin-bottom: 40px;">
            <img src="https://lh5.googleusercontent.com/acxDsEgG6qumlBmHKsNK1j8kxa4Z4Tsq1QBLBBydVKMGOyH3Qn1JU5AklbDis3SlVO_mY7KSVPnkzhul_5Zxr_023IU_UY0cxVG-VhY1nTj7A-ritWtDEAswMCo0jVMkdw=w2560" alt="AI Blood Test Interpretation Logo" width="300">
        </div>
        """, 
        unsafe_allow_html=True
    )
    
    st.sidebar.title('About')
    st.sidebar.info('''\
### Free Trial Available
Take advantage of our limited-time free trial for all humanity.
''')
    st.sidebar.info('''\
### Product Release
After 1.5 years of diligent effort, the AI Blood Test Interpretation tool is now officially launched.
''')
    st.sidebar.info('''\
### AI Inventor Contact
For any inquiries, please contact: [email protected]
''')
    
    st.write('Welcome to the AI-driven Blood Test Interpreter. Upload your blood test file and get a detailed analysis within seconds.')
    
    uploaded_file = st.file_uploader('Upload your blood test image or PDF', type=['jpg', 'jpeg', 'png', 'pdf'])
    username = st.text_input('Username', value='demo')
    password = st.text_input('Password', value='demo', type='password')
    
    languages = [
        'English', 'Spanish', 'French', 'German', 'Italian', 'Portuguese', 'Dutch', 
        'Japanese', 'Chinese', 'Korean', 'Russian', 'Arabic', 'Hindi', 'Bengali', 
        'Turkish', 'Swedish', 'Norwegian', 'Danish', 'Finnish', 'Greek', 'Hebrew', 
        'Polish', 'Czech', 'Hungarian', 'Romanian', 'Bulgarian', 'Serbian', 'Croatian', 
        'Slovak', 'Slovenian', 'Ukrainian', 'Belarusian', 'Latvian', 'Lithuanian', 
        'Estonian', 'Macedonian', 'Albanian', 'Bosnian', 'Irish', 'Maltese', 
        'Icelandic', 'Welsh', 'Galician', 'Basque', 'Catalan', 'Afrikaans', 
        'Swahili', 'Zulu', 'Xhosa', 'Amharic', 'Yoruba', 'Igbo', 'Somali', 
        'Vietnamese', 'Thai', 'Filipino', 'Malay', 'Indonesian', 'Mongolian', 
        'Khmer', 'Sinhala', 'Burmese', 'Lao', 'Marathi', 'Gujarati', 'Punjabi', 
        'Tamil', 'Telugu', 'Kannada', 'Malayalam', 'Oriya', 'Assamese', 
        'Nepali', 'Pashto', 'Farsi', 'Urdu', 'Kurdish', 'Uzbek', 'Kazakh', 
        'Tajik', 'Turkmen', 'Kyrgyz', 'Azerbaijani', 'Armenian', 'Georgian', 
        'Haitian Creole', 'Javanese', 'Sundanese', 'Madurese', 'Minangkabau', 
        'Acehnese', 'Balinese', 'Batak', 'Buginese', 'Rejang', 'Sasak'
    ]
    
    language = st.selectbox('Report Language', languages)
    
    # Analyze button
    if st.button('Analyze'):
        if uploaded_file and username and password:
            response = analyze_blood_test(uploaded_file, username, password, language)
            
            if response.status_code == 200:
                st.success('Analysis completed successfully')
                pdf_filename = f"{uploaded_file.name.split('.')[0]}_results.pdf"
                
                with open(pdf_filename, 'wb') as pdf_file:
                    pdf_file.write(response.content)
            
                with open(pdf_filename, 'rb') as pdf_file:
                    st.download_button('Download PDF Report', data=pdf_file, file_name=pdf_filename)
            else:
                st.error(f"Failed to analyze file. Status code: {response.status_code}, Message: {response.json()}")
        else:
            st.warning('Please fill in all fields and upload a file.')

if __name__ == '__main__':
    main()