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Update app.py
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app.py
CHANGED
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@@ -91,116 +91,62 @@ st.markdown(
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from { opacity: 0; }
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to { opacity: 1; }
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}
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/* Стили для интерактивных элементов боковой панели */
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.sidebar .element-container {
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margin: 20px 0;
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}
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.sidebar .element-container h3 {
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color: #ff7043;
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margin-bottom: 10px;
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}
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.sidebar .element-container input[type="text"] {
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padding: 10px;
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border-radius: 5px;
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border: 1px solid #ccc;
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width: 100%;
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}
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.sidebar .element-container textarea {
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padding: 10px;
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border-radius: 5px;
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border: 1px solid #ccc;
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width: 100%;
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height: 100px;
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}
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</style>
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""",
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unsafe_allow_html=True,
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# Основной контент
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st.title("GestureGuru")
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st.subheader("Russian Sign Language Recognition")
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st.markdown("""
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<div class="card fade-in">
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<p>This application is designed to recognize sign language using a webcam feed. The model has been trained to recognize various sign language gestures and display the corresponding text in real-time.</p>
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</div>
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<div class="divider"></div>
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<div class="card fade-in">
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<h3>Features:</h3>
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<ul>
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<li>Real-time sign language recognition</li>
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<li>Supports multiple gestures</li>
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<li>Easy to use interface</li>
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</ul>
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</div>
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<div class="divider"></div>
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<div class="card fade-in">
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<h3>How it works:</h3>
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<ol>
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<li>Upload a video or use the camera for live recognition.</li>
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<li>The model processes the video and identifies the gestures.</li>
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<li>The recognized gestures are displayed as text.</li>
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</ol>
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</div>
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<div class="divider"></div>
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<div class="card fade-in">
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<h3>Why use this app:</h3>
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<ul>
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<li>Helps bridge the communication gap between sign language users and others.</li>
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<li>Useful for educational purposes and learning sign language.</li>
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<li>Enhances accessibility for people with hearing impairments.</li>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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# Добавление картинки
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st.image("image.webp", caption="Sign Language Recognition", use_column_width=True)
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# Боковая панель
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st.sidebar.title("Navigation")
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st.sidebar.markdown(
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"""
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<style>
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.sidebar .sidebar-content a {
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color: #4CAF50;
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font-size: 1.2rem;
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text-decoration: none;
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}
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.sidebar .sidebar-content a:hover {
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color: #f4511e;
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text-decoration: underline;
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}
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</style>
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""",
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unsafe_allow_html=True
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)
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# Добавление ссылок навигации
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st.sidebar.markdown("### Pages")
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page = st.sidebar.radio("Select a page:", ["Main", "Camera", "Video Upload"])
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if page == "Main":
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st.markdown("""
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<div class="card fade-in">
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<p>This is
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</div>
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elif page == "Camera":
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st.markdown("""
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<div class="card fade-in">
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<
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</div>
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elif page == "Video Upload":
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st.markdown("""
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<div class="card fade-in">
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<
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</div>
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from { opacity: 0; }
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to { opacity: 1; }
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}
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</style>
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""",
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unsafe_allow_html=True,
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)
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# Боковая панель
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st.sidebar.title("Navigation")
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page = st.sidebar.radio("Select a page:", ["Main", "Camera", "Video Upload"])
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# Установка параметров URL
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st.experimental_set_query_params(page=page)
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# Основной контент
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if page == "Main":
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st.title("GestureGuru")
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st.subheader("Russian Sign Language Recognition")
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st.markdown("""
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<div class="card fade-in">
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<p>This application is designed to recognize sign language using a webcam feed. The model has been trained to recognize various sign language gestures and display the corresponding text in real-time.</p>
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</div>
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<div class="divider"></div>
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<div class="card fade-in">
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+
<h3>Features:</h3>
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+
<ul>
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+
<li>Real-time sign language recognition</li>
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+
<li>Supports multiple gestures</li>
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+
<li>Easy to use interface</li>
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</ul>
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</div>
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<div class="divider"></div>
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<div class="card fade-in">
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<h3>How it works:</h3>
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<ol>
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+
<li>Upload a video or use the camera for live recognition.</li>
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+
<li>The model processes the video and identifies the gestures.</li>
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+
<li>The recognized gestures are displayed as text.</li>
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</ol>
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</div>
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<div class="divider"></div>
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<div class="card fade-in">
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<h3>Why use this app:</h3>
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<ul>
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<li>Helps bridge the communication gap between sign language users and others.</li>
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<li>Useful for educational purposes and learning sign language.</li>
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<li>Enhances accessibility for people with hearing impairments.</li>
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</ul>
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</div>
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""", unsafe_allow_html=True)
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st.image("/mnt/data/A_colorful,_artistic_representation_of_hands_signi.png", caption="Sign Language Recognition", use_column_width=True)
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elif page == "Camera":
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from pages import camera
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camera.display()
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elif page == "Video Upload":
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from pages import video_upload
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video_upload.display()
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