Commit
Β·
c467e42
1
Parent(s):
7e4257e
update app
Browse files- app.py +63 -26
- ticket-predictions.csv +5 -3
app.py
CHANGED
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@@ -84,24 +84,46 @@ def gradio_predict(option, text_input, file_input):
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def clear_inputs():
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return "Enter Text", "", None, "", None
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# Custom CSS for Better UI Scaling
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custom_css = """
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.gradio-container {
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#
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"""
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# Gradio App UI
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with gr.Blocks(css=
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gr.Markdown(
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"""
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# AI Solution for Defect Ticket Classification
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@@ -111,25 +133,38 @@ with gr.Blocks(css=custom_css1) as app:
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**Model:** Fine-tuned **RoBERTa** for classification.
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Enter ticket Description/Comment/Summary or upload a **CSV file** to predict Assigned Teams & Team Emails.
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""",
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elem_id="title"
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)
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with gr.Row():
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with gr.Column(scale=
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text_input = gr.Textbox(
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label="Enter Ticket Description/Comment/Summary (One per line)",
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lines=6,
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placeholder="Example:\n - Database performance issue\n - Login fails for admin users..."
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)
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file_input = gr.File(
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with gr.Column(scale=
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gr.Markdown("## Prediction Results")
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results_output = gr.Markdown(elem_id="results-box", visible=True)
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download_csv = gr.File(label="π₯ Download Predictions CSV", interactive=False)
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@@ -137,16 +172,18 @@ with gr.Blocks(css=custom_css1) as app:
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predict_btn = gr.Button("PREDICT", variant="primary")
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clear_btn = gr.Button("CLEAR", variant="secondary")
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#
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def toggle_input(selected_option):
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option.change(fn=toggle_input, inputs=[option], outputs=[text_input, file_input])
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-
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predict_btn.click(fn=gradio_predict, inputs=[option, text_input, file_input], outputs=[results_output, download_csv])
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clear_btn.click(fn=clear_inputs, inputs=[], outputs=[option, text_input, file_input, results_output, download_csv])
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gr.Markdown("---")
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gr.Markdown(
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"<p style='text-align: center;color: gray;'>"
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def clear_inputs():
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return "Enter Text", "", None, "", None
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# Custom CSS for improved UI and fixed input container sizes
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custom_css = """
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.gradio-container {
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max-width: 1000px !important;
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margin: auto !important;
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}
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#title {
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text-align: center;
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font-size: 26px !important;
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font-weight: bold;
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}
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#predict-button, #clear-button, #download-button {
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width: 100% !important;
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height: 55px !important;
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font-size: 18px !important;
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}
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#results-box {
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height: 350px !important;
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overflow-y: auto !important;
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background: #f9f9f9;
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padding: 15px;
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border-radius: 10px;
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font-size: 16px;
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}
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/* Reduce vertical padding for the radio component */
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#choose_input_method {
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padding-top: 5px !important;
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padding-bottom: 5px !important;
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}
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/* Force both input components to have the same min-height */
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#text_input, #file_input {
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min-height: 200px !important;
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/* Optionally add a consistent border and padding to match styling */
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border: 1px solid #ccc;
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padding: 10px;
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}
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"""
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# Gradio App UI
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with gr.Blocks(css=custom_css) as app:
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gr.Markdown(
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"""
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# AI Solution for Defect Ticket Classification
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**Model:** Fine-tuned **RoBERTa** for classification.
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Enter ticket Description/Comment/Summary or upload a **CSV file** to predict Assigned Teams & Team Emails.
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""",
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elem_id="title"
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)
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with gr.Row():
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with gr.Column(scale=1):
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# Radio component with elem_id for CSS targeting
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option = gr.Radio(
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["Enter Text", "Upload CSV"],
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label="π Choose Input Method",
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value="Enter Text",
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elem_id="choose_input_method"
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)
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# Both inputs are given an element id to force consistent dimensions.
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text_input = gr.Textbox(
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label="Enter Ticket Description/Comment/Summary (One per line)",
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visible=True,
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lines=6,
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placeholder="Example:\n - Database performance issue\n - Login fails for admin users...",
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elem_id="text_input"
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)
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file_input = gr.File(
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label="π Upload CSV (Optional)",
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type="filepath",
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visible=False,
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elem_id="file_input"
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)
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with gr.Column(scale=1):
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gr.Markdown("## Prediction Results")
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results_output = gr.Markdown(elem_id="results-box", visible=True)
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download_csv = gr.File(label="π₯ Download Predictions CSV", interactive=False)
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predict_btn = gr.Button("PREDICT", variant="primary")
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clear_btn = gr.Button("CLEAR", variant="secondary")
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# Toggle the visibility of input components to ensure consistent sizing
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def toggle_input(selected_option):
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if selected_option == "Enter Text":
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return gr.update(visible=True), gr.update(visible=False)
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else:
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return gr.update(visible=False), gr.update(visible=True)
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option.change(fn=toggle_input, inputs=[option], outputs=[text_input, file_input])
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predict_btn.click(fn=gradio_predict, inputs=[option, text_input, file_input], outputs=[results_output, download_csv])
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clear_btn.click(fn=clear_inputs, inputs=[], outputs=[option, text_input, file_input, results_output, download_csv])
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# Footer view
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gr.Markdown("---")
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gr.Markdown(
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"<p style='text-align: center;color: gray;'>"
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ticket-predictions.csv
CHANGED
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@@ -1,4 +1,6 @@
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Index,Description,Assigned Team,Team Email
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Index,Description,Assigned Team,Team Email
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1,Database queries not optimized for large datasets.,Code Review Team,codereview.team@company.com
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2,User authentication fails when accessing restricted sections.,Functional Team,functional.team@company.com
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3,High CPU utilization leading to system overheating and slow performance.,Performance Team,performance.team@company.com
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4,System crashes due to misconfigured runtime environments.,Infrastructure Team,infra.team@company.com
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5,Unauthorized access detected in restricted sections of the application.,Security Team,security.team@company.com
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