barcegab/spatial_test

1import gradio as gr2import json3import bisect4import time5import threading6 7# Define the questions with a single image for options8with open('spatial/questions.json', 'r') as q_file:9    questions = json.load(q_file)10 11with open('spatial/answers.json', 'r') as a_file:12    answers = json.load(a_file)13 14with open('spatial/distribution.json', 'r') as file:15    distribution_data = json.load(file)16 17def calculate_percentile(correct_answers, distribution):18    # Sort the distribution by the number of correct answers19    distribution.sort(key=lambda x: x[0])20    21    # Separate the correct answers and percentiles into two lists22    scores = [item[0] for item in distribution]23    percentiles = [item[1] for item in distribution]24    25    # Find the index where the given correct_answers should be inserted26    index = bisect.bisect_left(scores, correct_answers)27    28    # If the exact score is found in the distribution29    if index < len(scores) and scores[index] == correct_answers:30        return percentiles[index]31    32    # If the score is beyond the highest score in the distribution33    if index == len(scores):34        return 100.035    36    # If the score is between two values in the distribution, interpolate37    if index > 0:38        lower_score, lower_percentile = scores[index-1], percentiles[index-1]39        upper_score, upper_percentile = scores[index], percentiles[index]40        41        # Linear interpolation42        slope = (upper_percentile - lower_percentile) / (upper_score - lower_score)43        interpolated_percentile = lower_percentile + slope * (correct_answers - lower_score)44        45        return round(interpolated_percentile, 2)46    47    # If the score is below the lowest score in the distribution48    return 0.049# Function to evaluate the answer50def evaluate_answer(*responses):51    score = 052    distribution = [(item['correct_answers'], item['percentile']) for item in distribution_data]53 54    if any(response is None for response in responses):55        indices = [index for index, value in enumerate(responses) if value is None]56        indices = [value + 1  for value in indices]57        raise gr.Error(f"No se puede quedar ningun valor en 0. Preguntas sin respuesta:{indices}")58    59    for i, response in enumerate(responses):60        response_parsed = response.split('.')[0]61        if response_parsed == answers[str(i)]:62            score += 163    percentile = calculate_percentile(score, distribution)64    return f"Your score: {percentile}: correct answers: {score}"65 66# Create a Gradio interface67 68with gr.Blocks() as demo:69    results = []70    for question in questions:71        with gr.Row():72            with gr.Column():73                gr.Image(type="filepath", 74                             label=f"Question {questions.index(question) + 1}", 75                             value=question["question"],76                             show_download_button=False,77                             mirror_webcam=False,78                             sources=['clipboard'],79                             interactive=False)80            with gr.Column():81                gr.Image(type="filepath", label="Options", 82                                value=question["options"],83                                mirror_webcam=False,84                                show_download_button=False,85                                sources=['clipboard'],86                                interactive=False)87            radio = gr.Radio(choices=["A", "B", "C", "D"], 88                            label="Choose an option")89            results.append(radio)90    submit = gr.Button("Submit")91    output = gr.Textbox(label="Results")92    93    submit.click(evaluate_answer, inputs=results, outputs=output)94    95 96# Launch the interface97if __name__ == "__main__":98    #app = create_interface()99    demo.launch()100