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Update app.py
Browse files
app.py
CHANGED
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@@ -14,77 +14,99 @@ def search_courses(query: str, num_results: int) -> str:
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return search_system.search_courses(query, top_k=num_results)
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query_input = gr.Textbox(
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label="What would you like to learn?",
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placeholder="E.g., 'machine learning for beginners' or 'computer vision projects'",
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lines=2
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num_results = gr.Slider(
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minimum=1,
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maximum=10,
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value=3,
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step=1,
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label="Number of results to show"
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)
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search_button = gr.Button(
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"🔍 Search Courses",
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variant="primary"
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)
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)
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search_button.click(
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fn=search_courses,
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inputs=[query_input, num_results],
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outputs=output
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)
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# Add custom CSS for better light mode appearance
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gr.Markdown("""
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<style>
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.search-results {
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background-color: #ffffff;
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padding: 20px;
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border-radius: 8px;
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border: 1px solid #e0e0e0;
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}
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.gradio-container {
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background-color: #f8f9fa;
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}
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.footer {
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margin-top: 2rem;
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text-align: center;
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color: #666;
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}
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</style>
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""")
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gr.Markdown("""
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<div class="footer">
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Made with Sentence Transformers and Gradio
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</div>
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""")
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if __name__ == "__main__":
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iface.launch(
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return search_system.search_courses(query, top_k=num_results)
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# Custom CSS for better spacing and minimalistic design
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custom_css = """
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#component-0 {
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max-width: 800px;
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margin: 0 auto;
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padding: 2rem;
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}
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.gradio-container {
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max-width: 850px !important;
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}
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.footer {
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margin-top: 3rem;
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padding-top: 1rem;
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border-top: 1px solid #eee;
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text-align: center;
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font-size: 0.9em;
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color: #666;
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}
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.container {
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margin: 1rem auto;
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padding: 1.5rem;
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border-radius: 12px;
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background: #ffffff;
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box-shadow: 0 2px 6px rgba(0, 0, 0, 0.05);
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}
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"""
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# Create Gradio interface with improved design
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with gr.Blocks(css=custom_css, title="Analytics Vidhya Course Search") as iface:
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with gr.Column(elem_classes="container"):
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gr.Markdown(
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"""
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# Analytics Vidhya Course Search
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Find the perfect free course from Analytics Vidhya's collection using natural language search.
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Simply describe what you're looking for in plain English!
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"""
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)
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with gr.Column(scale=1):
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query_input = gr.Textbox(
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label="What would you like to learn?",
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placeholder="E.g., 'machine learning for beginners' or 'computer vision projects'",
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lines=2,
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container=False
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)
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with gr.Row():
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num_results = gr.Slider(
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minimum=1,
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maximum=10,
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value=3,
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step=1,
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label="Number of results",
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container=False
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)
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search_button = gr.Button(
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"🔍 Search",
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variant="primary",
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size="lg"
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)
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# Add some spacing
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gr.Markdown("")
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# Results section with better formatting
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with gr.Column():
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output = gr.Markdown(
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label="Search Results",
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elem_classes="results-container"
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)
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# Footer with subtle styling
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gr.Markdown(
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"""
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<div class="footer">
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Made with ❤️ using Sentence Transformers and Gradio
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</div>
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""",
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elem_classes="footer"
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)
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# Set up the click event
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search_button.click(
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fn=search_courses,
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inputs=[query_input, num_results],
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outputs=output
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)
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if __name__ == "__main__":
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iface.launch(
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share=False,
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debug=False,
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show_api=False,
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show_error=False
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)
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