GeoScience_Exam_Marker / data_processing.py
ShebMichel's picture
Create data_processing.py
f3ed112 verified
raw
history blame
3.24 kB
import json
import gradio as gr
def process_json_file(file):
try:
# Read and print the file content for debugging
print("File received:", file.name)
# Read the JSON file
with open(file.name, 'r') as f:
print("Reading file contents...")
json_data = json.load(f)
# Print the structure of the JSON data
print("\nJSON Structure:")
print("Available sections:", list(json_data.keys()))
# Process each section
output_text = ""
# Process header if exists
if 'header' in json_data:
output_text += "=== EXAM DETAILS ===\n"
for key, value in json_data['header'].items():
output_text += f"{key.replace('_', ' ').title()}: {value}\n"
output_text += "\n"
# Process multiple choice questions
if 'multiple_choice_questions' in json_data:
output_text += "=== MULTIPLE CHOICE QUESTIONS ===\n"
for q_num, q_data in json_data['multiple_choice_questions'].items():
output_text += f"\nQuestion {q_num.replace('question', '')}:\n"
output_text += f"{q_data['question']}\n"
for opt_key, opt_val in q_data['options'].items():
output_text += f"{opt_key}) {opt_val}\n"
output_text += f"Answer: {q_data['answer']}\n"
# Process short answer questions
if 'short_answer_questions' in json_data:
output_text += "\n=== SHORT ANSWER QUESTIONS ===\n"
for q_num, q_data in json_data['short_answer_questions'].items():
output_text += f"\nQuestion {q_num.replace('question', '')}:\n"
output_text += f"{q_data['question']}\n"
output_text += f"Answer: {q_data['answer']}\n"
# Process long answer questions
if 'long_answer_questions' in json_data:
output_text += "\n=== LONG ANSWER QUESTIONS ===\n"
for q_num, q_data in json_data['long_answer_questions'].items():
output_text += f"\nQuestion {q_num.replace('question', '')}:\n"
output_text += f"{q_data['question']}\n"
output_text += f"Answer: {q_data['answer']}\n"
print("\nProcessing complete!")
return output_text
except json.JSONDecodeError as e:
error_msg = f"Error decoding JSON: {str(e)}"
print(error_msg)
return error_msg
except Exception as e:
error_msg = f"Error processing file: {str(e)}"
print(error_msg)
return error_msg
# Create Gradio interface
with gr.Blocks() as iface:
gr.Markdown("# Exam Question Viewer")
with gr.Row():
file_input = gr.File(
label="Upload JSON Exam File",
file_types=[".json"]
)
with gr.Row():
output_text = gr.Textbox(
label="Processed Questions",
lines=20,
max_lines=30
)
file_input.upload(
fn=process_json_file,
inputs=[file_input],
outputs=[output_text]
)
# Launch the interface
iface.launch()