Create app.py

app.py

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+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()
+
+# Function to generate a random question based on user selections
+def generate_question(segment_type, description_type):
+    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", ""  # 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
+    return description, correct_ipa
+
+# 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 "Correct!", score, trials
+    else:
+        return "Try again", score, trials
+
+# Function to quit and show results
+def quit_quiz(score, trials):
+    return f"Your final score is {score}/{trials}."
+
+# Gradio interface
+def gradio_app():
+    with gr.Blocks() as app:
+        # 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 placed after the selections
+        start_button = gr.Button("Show a phonetic description")
+
+        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")
+        
+        # State variables for score and trials
+        score_state = gr.State(0)
+        trials_state = gr.State(0)
+        correct_ipa_state = gr.State("")
+        
+        # Start quiz based on selections
+        def start(segment_type, description_type):
+            description, correct_ipa = generate_question(segment_type, description_type)
+            correct_ipa_state.value = correct_ipa  # Save the correct IPA symbol in state
+            return description, "", gr.update(visible=True), score_state.value, trials_state.value
+        
+        # Submit the answer and check
+        def submit(user_ipa):
+            result, score, trials = submit_answer(user_ipa, correct_ipa_state.value, score_state.value, trials_state.value)
+            score_state.value = score
+            trials_state.value = trials
+            return result, score, trials
+        
+        # Quit and show final results
+        def quit():
+            return quit_quiz(score_state.value, trials_state.value)
+        
+        # Bind actions
+        start_button.click(fn=start, inputs=[segment_type, description_type], outputs=[description_output, ipa_input, submit_button, score_state, trials_state])
+        submit_button.click(fn=submit, inputs=[ipa_input], outputs=[result_output, score_state, trials_state])
+        quit_button.click(fn=quit, outputs=[result_output])
+    
+    return app
+
+app = gradio_app()
+app.launch()