Delete app_JanikaPiitu.py
Browse files- app_JanikaPiitu.py +0 -166
app_JanikaPiitu.py
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import gradio as gr
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import pandas as pd
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import numpy as np
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import random
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def show_stars():
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""" Function that shows the HTML script for stars -Janika"""
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stars_html = """
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<style>
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/* Title */
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.title-text {
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color: white;
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font-family: sans-serif;
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font-size: 14px;
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font-weight: bold;
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}
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/* Empty stars */
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.star-rating {
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display: inline-block;
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font-size: 1.5em;
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color: lightgray;
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}
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/* Filled stars */
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.star-rating .star.filled {
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color: gold;
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}
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/* Box for the whole star rating component */
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.rating-box {
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border: 1px transparent;
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background-color: #1f2937;
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padding: 10px;
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border-radius: 5px;
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width: 100%;
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margin-left: 0;
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}
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/* Box for the title */
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.title-box {
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border: 1px transparent;
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background-color: #ca8a04;
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padding: 3px;
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border-radius: 8px;
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display: inline-block;
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margin-bottom: 6px;
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}
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/* Box for stars */
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.star-box {
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border: 1px transparent;
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background-color: #374151;
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padding: 10px;
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border-radius: 5px;
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width: fit-content;
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margin: 0;
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}
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</style>
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<div class="rating-box">
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<div class="title-box">
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<p class="title-text">Star rating</p>
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</div>
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<div class="star-box">
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<div class="star-rating" data-rating="4">
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<span class="star">★</span>
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<span class="star">★</span>
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<span class="star">★</span>
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<span class="star">★</span>
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<span class="star">★</span>
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</div>
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</div>
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</div>
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<script>
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document.addEventListener('DOMContentLoaded', function() {
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const ratingElement = document.querySelector('.star-rating');
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const rating = parseInt(ratingElement.getAttribute('data-rating'));
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const stars = ratingElement.querySelectorAll('.star');
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for (let i = 0; i < rating; i++) {
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stars[i].classList.add('filled');
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}
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});
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</script>
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"""
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return stars_html
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# Function to handle feedback submission -Piitu
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def handle_feedback(feedback, name):
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return f"Thank you for your feedback, {name}!"
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# Function to update placeholder text -Piitu
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def update_placeholder(name):
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if name:
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return f"Enter your feedback here, {name}..."
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else:
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return "Enter your feedback here..."
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# Random data for testing, actual data added later
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df = pd.DataFrame({
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'Year': np.random.randint(2000, 2024, 25),
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'Reviews': np.random.randint(120, 320, 25),
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})
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# Theme
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theme = gr.themes.Soft(
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primary_hue="yellow",
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secondary_hue="amber",
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spacing_size="sm",
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radius_size="lg",
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)
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with gr.Blocks(theme=theme) as demo:
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# Basic user interface for company's view -Janika
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with gr.Tab("User Interface"):
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with gr.Row():
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with gr.Column(scale=2, min_width=300):
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# Overall summary from all feedback
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com_summary_output = gr.Textbox(label="Summary")
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with gr.Column(scale=1, min_width=300):
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# Average star rating across all feedback
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com_star_rating = gr.HTML(value=show_stars())
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# The most common keywords across all feedback
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com_keywords_output = gr.Textbox(label="Keywords")
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# Testing Area -Piitu
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with gr.Tab("Testing Area"):
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with gr.Row():
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with gr.Column(scale=1, min_width=300):
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name_input = gr.Textbox(label="Enter your name", placeholder="Enter your name here...")
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text_input = gr.Textbox(label="Please give us feedback!",
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placeholder="Enter your feedback here...",
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max_length=5000)
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# Update placeholder based on name input -Piitu
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name_input.change(fn=update_placeholder, inputs=name_input, outputs=text_input)
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# Send button -Piitu
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send_button = gr.Button("Send")
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# Output for feedback submission confirmation -Piitu
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feedback_output = gr.Textbox(label="Submission Result", interactive=False)
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# Link button to function that handles feedback submission -Piitu
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send_button.click(handle_feedback, inputs=[text_input, name_input], outputs=feedback_output)
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with gr.Column(scale=2, min_width=300):
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# Estimated star rating from customer's feedback -Janika
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cus_star_rating = gr.HTML(value=show_stars())
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# Estimated sentiment from customer's feedback -Janika
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cus_sentiment = gr.Textbox(label="Sentiment")
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# Summary from customer's feedback -Janika
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cus_summary_output = gr.Textbox(label="Summary")
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# The most common keywords from customer's feedback -Janika
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cus_keywords_output = gr.Textbox(label="Keywords")
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demo.launch()
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