updated app.py

app.py

@@ -29,49 +29,52 @@ def add_guess(guess):
         guesses = load_guesses()
         guesses.append(guess)
         save_guesses(guesses)
-        
-        n = len(guesses)
-        average = sum(guesses) / n
-        
-        if n >= 2:
-            # Calculate sample standard deviation
-            s = statistics.stdev(guesses)
-            # Calculate standard error
-            SE = s / (n ** 0.5)
-            # Degrees of freedom
-            df = n - 1
-            # Confidence level (e.g., 95%)
-            confidence_level = 0.95
-            alpha = 1 - confidence_level
-            # Calculate critical t-value
-            t_value = stats.t.ppf(1 - alpha/2, df)
-            # Calculate margin of error
-            ME = t_value * SE
-            # Calculate confidence interval
-            ci_lower = average - ME
-            ci_upper = average + ME
-            # Prepare output message
-            return (
-                f"Your guess has been recorded.\n"
-                f"Current average of all guesses: {average:.2f}\n"
-                f"95% confidence interval: ({ci_lower:.2f}, {ci_upper:.2f})"
-            )
-        else:
-            # Not enough data to compute confidence interval
-            return (
-                f"Your guess has been recorded.\n"
-                f"Current average of all guesses: {average:.2f}\n"
-                f"Not enough data to compute confidence interval."
-            )
+        return compute_statistics(guesses, include_message=True)
 
-#demo = gr.Interface(
-#    fn=add_guess,
-#    inputs=gr.Number(label="Enter your guess"),
-#    outputs="text",
-#    title="Collective Guessing Game",
-#    description="Submit your guess and contribute to the global average!"
-#)
+def get_current_results():
+    with lock:
+        guesses = load_guesses()
+        return compute_statistics(guesses, include_message=False)
+
+def compute_statistics(guesses, include_message):
+    n = len(guesses)
+    if n == 0:
+        return "No guesses have been made yet."
+
+    average = sum(guesses) / n
 
+    if n >= 2:
+        # Calculate sample standard deviation
+        s = statistics.stdev(guesses)
+        # Calculate standard error
+        SE = s / (n ** 0.5)
+        # Degrees of freedom
+        df = n - 1
+        # Confidence level (e.g., 95%)
+        confidence_level = 0.95
+        alpha = 1 - confidence_level
+        # Calculate critical t-value
+        t_value = stats.t.ppf(1 - alpha/2, df)
+        # Calculate margin of error
+        ME = t_value * SE
+        # Calculate confidence interval
+        ci_lower = average - ME
+        ci_upper = average + ME
+        # Prepare output message
+        message = (
+            (f"Your guess has been recorded.\n" if include_message else "") +
+            f"Current average of all guesses: {average:.2f}\n"
+            f"95% confidence interval: ({ci_lower:.2f}, {ci_upper:.2f})"
+        )
+        return message
+    else:
+        # Not enough data to compute confidence interval
+        message = (
+            (f"Your guess has been recorded.\n" if include_message else "") +
+            f"Current average of all guesses: {average:.2f}\n"
+            f"Not enough data to compute confidence interval."
+        )
+        return message
 
 with gr.Blocks() as demo:
     gr.Markdown("# Collective Guessing Game")
@@ -82,7 +85,10 @@ with gr.Blocks() as demo:
 
     with gr.Accordion("View Current Results!", open=False):
         output_text = gr.Textbox(label="Results", lines=10)
+        refresh_button = gr.Button("Refresh Results")
 
     submit_button.click(fn=add_guess, inputs=guess_input, outputs=output_text)
+    refresh_button.click(fn=get_current_results, outputs=output_text)
+    demo.load(fn=get_current_results, outputs=output_text)
 
 demo.launch()