#@markdown This app resolved variable issues (0923) import random import gradio as gr import pandas as pd # Load data from the provided URL def load_data(): url = "https://raw.githubusercontent.com/MK316/Myapps/refs/heads/main/data/Phonetic-description.csv" try: data = pd.read_csv(url, encoding='utf-8') # Ensure correct encoding return data except Exception as e: raise ValueError(f"Error loading data: {e}") # Load the data into a DataFrame df = load_data() # Dictionary to store each user's session-specific data user_sessions = {} # Function to generate a random question based on user selections def generate_question(segment_type, description_type, used_questions): segment = "Consonant" if segment_type == "Consonant" else "Vowel" description_field = "Full_description" if description_type == "Full_description" else "Casual_description" filtered_df = df[df["Segment"] == segment] # Filter based on consonant/vowel selection if filtered_df.empty: return "No data available", "", used_questions # Handle empty filter case random_row = filtered_df.sample(1).iloc[0] # Pick a random row description = random_row[description_field] # Select either 'Full_description' or 'Casual_description' correct_ipa = random_row["IPA"] # The correct IPA symbol used_questions.append(description) # Track used descriptions to avoid repetition return description, correct_ipa, used_questions # Function to check the user's answer def submit_answer(user_ipa, correct_ipa, score, trials): trials += 1 if user_ipa.strip() == correct_ipa: score += 1 return f"Correct! The answer was '{correct_ipa}'", score, trials else: return f"Wrong! The correct answer was '{correct_ipa}'", score, trials # Function to quit and show results def quit_quiz(score, trials, name): return f"{name}! Your final score is {score}/{trials}." # Gradio interface def gradio_app(): with gr.Blocks() as app: # Name input name_input = gr.Textbox(label="Enter your name", placeholder="Your name") # Radio buttons to select Consonant or Vowel segment_type = gr.Radio(choices=["Consonant", "Vowel"], label="Select Consonant or Vowel", value="Consonant") # Radio buttons to select description type (Full or Casual) description_type = gr.Radio(choices=["Full_description", "Casual_description"], label="Select Description Type", value="Full_description") # Start button renamed to "Quiz to start" start_button = gr.Button("Quiz to start") description_output = gr.Textbox(label="Description", interactive=False) ipa_input = gr.Textbox(label="Enter IPA", placeholder="Type IPA symbol here") submit_button = gr.Button("Submit", visible=False) # Initially hidden until start is clicked result_output = gr.Textbox(label="Result", interactive=False) quit_button = gr.Button("Quit") # Start quiz and reset session data for the user def start(segment_type, description_type, name): # Initialize/reset user session user_sessions[name] = { "score": 0, "trials": 0, "used_questions": [], "correct_ipa": "" } description, correct_ipa, used_questions = generate_question(segment_type, description_type, user_sessions[name]["used_questions"]) user_sessions[name]["correct_ipa"] = correct_ipa user_sessions[name]["used_questions"] = used_questions return description, "", gr.update(visible=True), user_sessions[name]["score"], user_sessions[name]["trials"] # Submit the answer and check def submit(name, user_ipa): session = user_sessions[name] result, score, trials = submit_answer(user_ipa, session["correct_ipa"], session["score"], session["trials"]) session["score"] = score session["trials"] = trials # Generate new question after submitting the answer description, correct_ipa, used_questions = generate_question(segment_type.value, description_type.value, session["used_questions"]) session["correct_ipa"] = correct_ipa session["used_questions"] = used_questions return description, "", result, gr.update(visible=True), result, score, trials # Quit and show final results def quit(name): session = user_sessions[name] return quit_quiz(session["score"], session["trials"], name) # Bind actions start_button.click(fn=start, inputs=[segment_type, description_type, name_input], outputs=[description_output, ipa_input, submit_button, result_output, result_output]) submit_button.click(fn=submit, inputs=[name_input, ipa_input], outputs=[description_output, ipa_input, result_output, result_output, result_output]) quit_button.click(fn=quit, inputs=[name_input], outputs=[result_output]) return app app = gradio_app() app.launch()