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import gradio as gr
import random
import json
with open('species.json') as f:
lista = json.load(f)
def inicializar_preguntas(num_questions=30):
muestra_juego = random.sample(lista, num_questions)
questions = []
for especie in muestra_juego:
correcta = especie['name']
revision = True
while revision:
opciones = random.sample(lista, 3)
op_names = [op['name'] for op in opciones]
if correcta not in op_names:
op_names.append(correcta)
random.shuffle(op_names)
revision = False
questions.append({"image": especie['image_url'], "options": op_names, "answer": correcta})
return questions
def check_question(option, ind, score, questions):
if ind == len(questions) - 1:
return f"Puntuación: {int(score/len(questions)*100)}%", None, None, None, score
if option == questions[ind]["answer"]:
score += 1
texto_corr = "Correcto"
else:
texto_corr = f"Incorrecto\nLa respuesta correcta es: {questions[ind]['answer']}"
ind += 1
image = gr.Image(value=questions[ind]["image"], height=300, width=300)
options = gr.Radio(choices=questions[ind]["options"])
return texto_corr, ind, image, options, score
with gr.Blocks() as demo:
ind = gr.State(0)
score = gr.State(0)
questions = gr.State()
@gr.on("load") # Esta función se ejecuta cada vez que se carga la interfaz
def on_load():
return {'questions': inicializar_preguntas(), 'ind': 0, 'score': 0}
image = gr.Image(height=300, width=300)
options = gr.Radio()
button = gr.Button("Siguiente pregunta")
output = gr.Textbox(label="Output Box")
def update_ui(questions, ind):
if questions and ind < len(questions):
image.update(value=questions[ind]["image"])
options.update(choices=questions[ind]["options"])
else:
image.update(value=None)
options.update(choices=[])
button.click(fn=check_question, inputs=[options, ind, score, questions], outputs=[output, ind, image, options, score])
demo.on("load")(update_ui) # Actualiza la UI al cargar basándose en las preguntas generadas
if __name__ == "__main__":
demo.launch(share=True)
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