import pandas as pd import gradio as gr import matplotlib.pyplot as plt shared_page1 = None shared_page2 = None def set_shared_pages(page1, page2): global shared_page1, shared_page2 shared_page1 = page1 shared_page2 = page2 def compare_info(tco1, tco2, dropdown, dropdown2): if error_occurred == False : #Compute the cost/request ratio r = tco1 / tco2 if r < 1: comparison_result = f"""The cost/request of the second {dropdown2} service is {1/r:.5f} times more expensive than the one of the first {dropdown} service.""" elif r > 1: comparison_result = f"""The cost/request of the second {dropdown2} service is {r:.5f} times cheaper than the one of the first {dropdown} service.""" else: comparison_result = f"""Both solutions have the same cost/request.""" # Create a bar chart services = [dropdown, dropdown2] costs_to_compare = [tco1, tco2] plt.figure(figsize=(6, 4)) plt.bar(services, costs_to_compare, color=['red', 'green']) plt.xlabel('AI option services', fontsize=10) plt.ylabel('($) Cost/Request', fontsize=10) plt.title('Comparison of Cost/Request', fontsize=14) plt.tight_layout() plt.savefig('cost_comparison.png') # Save to a file return gr.update(value='cost_comparison.png', visible=True), comparison_result else: return None, "" def create_table(tco1, tco2, labor_cost1, labor_cost2, dropdown, dropdown2, latency, latency2): if error_occurred == False: if shared_page1 is None or shared_page2 is None: raise ValueError("Shared instances not set.") list_values = [] first_sol = [tco1, labor_cost1, latency] second_sol = [tco2, labor_cost2, latency2] list_values.append(first_sol) list_values.append(second_sol) data = pd.DataFrame(list_values, index=[dropdown, dropdown2], columns=["Cost/request ($) ", "Labor Cost ($/month)", "Average latency (s)"]) formatted_data = data.copy() formatted_data["Cost/request ($) "] = formatted_data["Cost/request ($) "].apply('{:.5f}'.format) formatted_data["Labor Cost ($/month)"] = formatted_data["Labor Cost ($/month)"].apply('{:.0f}'.format) styled_data = formatted_data.style\ .set_properties(**{'background-color': '#ffffff', 'color': '#000000', 'border-color': '#e0e0e0', 'border-width': '1px', 'border-style': 'solid'})\ .to_html() centered_styled_data = f"
{styled_data}
" return gr.update(value=centered_styled_data) else: return "" def compute_cost_per_request(*args): dropdown_id = args[-4] dropdown_id2 = args[-3] input_tokens = args[-2] output_tokens = args[-1] global error_occurred if dropdown_id!="" and dropdown_id2!="": error_occurred = False page1 = shared_page1 page2 = shared_page2 args_page1 = list(args) + [dropdown_id, input_tokens, output_tokens] args_page2 = list(args) + [dropdown_id2, input_tokens, output_tokens] result_page1 = page1.compute_cost_per_token(*args_page1) result_page2 = page2.compute_cost_per_token(*args_page2) tco1, latency, labor_cost1 = result_page1 tco2, latency2, labor_cost2 = result_page2 return tco1, latency, labor_cost1, tco2, latency2, labor_cost2 else: error_occurred = True raise gr.Error("Please select two AI service options.") def update_plot(tco1, tco2, dropdown, dropdown2, labour_cost1, labour_cost2): if error_occurred == False: request_ranges = list(range(0, 1001, 100)) + list(range(1000, 10001, 500)) + list(range(10000, 100001, 1000)) + list(range(100000, 1600001, 100000)) costs_tco1 = [(tco1 * req + labour_cost1) for req in request_ranges] costs_tco2 = [(tco2 * req + labour_cost2) for req in request_ranges] data = pd.DataFrame({ "Number of requests": request_ranges * 2, "Cost ($)": costs_tco1 + costs_tco2, "AI model service": ["1)" + " " + dropdown] * len(request_ranges) + ["2)" + " " + dropdown2] * len(request_ranges) } ) return gr.LinePlot.update(data, visible=True, x="Number of requests", y="Cost ($)",color="AI model service",color_legend_position="bottom", title="Set-up TCO for one month", height=300, width=500, tooltip=["Number of requests", "Cost ($)", "AI model service"]) else: return "" error_occurred = False