Create app.py

app.py

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+import gradio as gr
+import numpy as np
+
+def simulate_success(num_simulations, success_rate_1, success_rate_2, cost_per_attempt_1, cost_per_attempt_2):
+    num_simulations = int(num_simulations)  # Ensure num_simulations is an integer
+
+    def run_simulation(success_rate, cost_per_attempt):
+        # Simulating the outcomes
+        results = np.random.rand(num_simulations) < success_rate
+        
+        # Counting the number of successes and failures
+        successes = np.sum(results)
+        failures = num_simulations - successes
+        
+        # Calculating the total cost for successes and failures
+        total_success_cost = successes * cost_per_attempt
+        total_failure_cost = failures * cost_per_attempt
+        
+        return successes, failures, total_success_cost, total_failure_cost
+    
+    # Running the simulation for both options
+    successes_option_1, failures_option_1, success_cost_1, failure_cost_1 = run_simulation(success_rate_1, cost_per_attempt_1)
+    successes_option_2, failures_option_2, success_cost_2, failure_cost_2 = run_simulation(success_rate_2, cost_per_attempt_2)
+    
+    # Formatting the output
+    output_1 = (
+        f"Option 1: {successes_option_1} successes, {failures_option_1} failures\n"
+        f"Total cost for successes: {success_cost_1} gold\n"
+        f"Total cost for failures: {failure_cost_1} gold\n"
+        f"Total cost overall: {success_cost_1 + failure_cost_1} gold"
+    )
+    
+    output_2 = (
+        f"Option 2: {successes_option_2} successes, {failures_option_2} failures\n"
+        f"Total cost for successes: {success_cost_2} gold\n"
+        f"Total cost for failures: {failure_cost_2} gold\n"
+        f"Total cost overall: {success_cost_2 + failure_cost_2} gold"
+    )
+    
+    return output_1, output_2
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=simulate_success,
+    inputs=[
+        gr.Number(label="Number of Simulations", value=30, precision=0),
+        gr.Slider(0.01, 1.0, step=0.01, label="Success Rate Option 1", value=0.10),
+        gr.Slider(0.01, 1.0, step=0.01, label="Success Rate Option 2", value=0.15),
+        gr.Number(label="Cost per Attempt Option 1", value=850, precision=0),
+        gr.Number(label="Cost per Attempt Option 2", value=1450, precision=0)
+    ],
+    outputs=[
+        gr.Textbox(label="Results for Option 1"),
+        gr.Textbox(label="Results for Option 2")
+    ],
+    title="Success Rate Simulation",
+    description="Simulate success and failure outcomes with different rates and costs."
+)
+
+# Launch the app with sharing option enabled
+interface.launch()