import gradio as gr
import pandas as pd

# Define questions and answers
questions = [
    ("What is blockchain primarily described as in the image?", 
     ["A centralized database", "A distributed ledger", "A cloud storage system", "A social media platform"], 1),
    
    ("What does the “immutable records” feature of blockchain mean?", 
     ["Records can be changed easily", "Records cannot be altered once written", "Records are stored on a single server", "Records are deleted after a certain time"], 1),
    
    ("What type of system does blockchain use to operate?", 
     ["Peer-to-peer system", "Client-server system", "Third-party system", "Cloud-based system"], 0),
    
    ("What does “trustless trust” in blockchain mean?", 
     ["Trust is based on third parties", "Trust is built through math and code", "Trust is not needed at all", "Trust is only between two parties"], 1),
    
    ("According to the image, what happens in a trustless trust system?", 
     ["Everyone has a copy, so there’s no single failure point", "Only one person has a copy of the data", "Third parties control the system", "The system fails if one person loses their copy"], 0),
    
    ("Which of the following is a security feature of blockchain mentioned in the image?", 
     ["Centralized control", "Cryptographic hash", "Password protection", "Manual verification"], 1),
    
    ("What is one of the security features that ensures blockchain operates without a central authority?", 
     ["Decentralization", "Centralization", "Password encryption", "Cloud storage"], 0),
    
    ("Which of the following is an application of blockchain shown in the image?", 
     ["Social media posting", "Bitcoin", "Email services", "Video streaming"], 1),
    
    ("What is another application of blockchain mentioned in the image besides Bitcoin?", 
     ["Cloud computing", "NFTs (Non-Fungible Tokens)", "Online gaming", "Web browsing"], 1),
    
    ("What mechanism helps blockchain nodes agree on the state of the ledger?", 
     ["Consensus mechanisms", "Centralized voting", "Manual agreement", "Random selection"], 0)
]

# Initialize the DataFrame for storing quiz results
columns = ['Name', 'Score']
# Load the existing Excel file if it exists, or create a new one if not
try:
    df = pd.read_excel('quiz_scores.xlsx')
except FileNotFoundError:
    df = pd.DataFrame(columns=columns)

# Gradio interface function
def grade_quiz(name, *answers):
    score = 0
    feedback = ""
    for i, answer in enumerate(answers):
        correct = questions[i][2]
        if answer == questions[i][1][correct]:
            score += 1
            feedback += f"Q{i+1}: Correct\n"
        else:
            feedback += f"Q{i+1}: Incorrect (Correct: {questions[i][1][correct]})\n"
    
    # Save the user's result to the Excel file
    new_data = pd.DataFrame({'Name': [name], 'Score': [score]})
    global df
    df = pd.concat([df, new_data], ignore_index=True)
    df.drop_duplicates(subset='Name', keep='last', inplace=True)
    df.to_excel('quiz_scores.xlsx', index=False)  # Save to Excel
    
    return f"Hello {name}, you scored {score} out of 10.\n\n{feedback}"

# Create input components
name_input = gr.Textbox(label="Enter your name:")
inputs = [name_input] + [gr.Radio(q[1], label=q[0]) for q in questions]

# Create Gradio interface
quiz_interface = gr.Interface(
    fn=grade_quiz,
    inputs=inputs,
    outputs="text",
    title="Blockchain Quiz",
    theme="default"
)

# Launch the interface
quiz_interface.launch()