import os import gradio as gr from time import sleep def indian_notation(num): num_str = str(num) if '.' in num_str: num_str = '{:.2f}'.format(float(num_str)).rstrip('0').rstrip('.') integer_part, decimal_part = num_str.split(".") decimal_part = "." + decimal_part else: integer_part, decimal_part = num_str, "" rev = integer_part[::-1] if len(rev) < 4: return rev[::-1] + decimal_part three_part, rest = rev[:3], rev[3:] rest = ",".join([rest[i:i+2] for i in range(0, len(rest), 2)]) return (rest[::-1] + "," + three_part[::-1]) + decimal_part def compute_roi(avg_duration, estd_courses, course_price, price_dubbing, course_name): sleep(1) estd_courses = float(estd_courses) avg_duration = float(avg_duration) course_price = float(course_price) price_dubbing = float(price_dubbing) new_markdown = f"""## ROI for Course: {course_name} ## _For a batch of **{int(estd_courses)}** students, for average **{avg_duration:g} hours** of duration, you are expected to earn ₹{indian_notation(int(estd_courses * course_price))}._ ## _The estimated cost for dubbing this course is ₹{indian_notation(int(price_dubbing*60*avg_duration))} paid in monthly installments._ ## _Your ROI is approximately {int((estd_courses * course_price) / (price_dubbing*60*avg_duration) * 100)}%._ """ return gr.update(value=new_markdown, visible=True) def calcualte_cost_capacity(content_hours, pricing_per_minute, expected_delivery_days, avg_translator_speed, translators_pay_per_month): sleep(1) total_revenue = float(content_hours) * float(pricing_per_minute) * 60 expected_num_people = int(float(content_hours) * 60 / (float(avg_translator_speed) * float(expected_delivery_days))) company_cost_beared = expected_num_people * float(expected_delivery_days) * float(translators_pay_per_month) / 30 res_markdown = f"""## Cost Capacity ## _Total Revenue Generated : ₹{indian_notation(int(total_revenue))}_ ## _Expected Number of Translators required : {expected_num_people}_ ## _Cost beared for Translators : ₹{indian_notation(int(company_cost_beared))}_ ## _Total Earnings : ₹{indian_notation(int(total_revenue-company_cost_beared))}_ """ return gr.update(value=res_markdown, visible=True) with gr.Blocks(theme="gradio/monochrome") as demo: gr.Markdown("# Dubbing Course ROI Calculator") with gr.Row(): course_name_txt = gr.Textbox(label="Course Name") category = gr.Dropdown(["CA", "Finance", "JEE", "CMA", "NEET", "Biology", "Chemistry", "Physics", "Others"], label="Course Category") with gr.Row(): avg_duration_num = gr.Number(label="Average Duration (hours)") num_courses = gr.Number(label="Number of Courses") course_price_txt = gr.Textbox(label="Estimated Course Price") with gr.Row(): source_lang = gr.Dropdown(["English", "Hindi", "Tamil"], label="Source Language") target_lang = gr.Dropdown(["English", "Hindi", "Tamil"], label="Target Language") with gr.Row(): estd_courses_num = gr.Number(label="Estimated Dubbed Courses Sold", info="Assuming one person buys one course.") price_dubbing_txt = gr.Textbox(label="Dubpro's Per Minute Price", info="This price is inclusive of GST.") calc_roi = gr.Button("Calculate ROI") output = gr.Markdown() calc_roi.click(compute_roi, [avg_duration_num, estd_courses_num, course_price_txt, price_dubbing_txt, course_name_txt], output) gr.Markdown("# Course Cost Capacity") with gr.Row(): content_hours_num = gr.Number(label="Hours of Content") pricing_per_minute_num = gr.Number(label="Price of Course Per Minute of Dubbing (in Rs)") expected_delivery_days_num = gr.Number(label="Expected Number of Days for Delivery") with gr.Row(): avg_translator_speed_num = gr.Number(label="Speed of Average Translator Per Day (in minutes)") translators_pay_per_month_num = gr.Number(label="Average Cost of Translator per Month (in Rs)") calcualte_cost_capacity_btn = gr.Button("Calculate Cost Capacity") output_2 = gr.Markdown() calcualte_cost_capacity_btn.click(calcualte_cost_capacity, [content_hours_num, pricing_per_minute_num, expected_delivery_days_num, avg_translator_speed_num, translators_pay_per_month_num], output_2) demo.launch()