Spaces:
Runtime error
Runtime error
File size: 2,715 Bytes
ae6a8c0 abedf13 ae6a8c0 7e3fbab abedf13 ae6a8c0 abedf13 7e3fbab abedf13 7e3fbab abedf13 7e3fbab abedf13 7e3fbab abedf13 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
import gradio as gr
from Sample import *
display_dict, info_dict = sample_random_entry(n=1)
# Extract the question text
question_text = display_dict['qa']
def markdown_to_html(markdown_text):
# You would use a Markdown library to convert markdown to HTML here
# Since this code runs in an environment without extra libraries, this is a placeholder
html = markdown_text.replace("\n", "<br>") # Simple replacement, not a real markdown conversion
return html
completion_text = ''
def evaluate_guess(reasoning, correctness, confidence):
# Placeholder for comparison logic
# You'll need to access the correct answer from `info_dict` or a similar structure
correct_answer = "Correctly" # Placeholder for the actual logic to determine this
evaluation_response = "Correct" if correctness == correct_answer else "Incorrect"
actual_model = info_dict['model']
actual_completion = info_dict['completion']
# Update the completion text
completion_text = f"Completion: {actual_completion}\n\nChoice: {chr(info_dict['verdict'] + 65)}"
model = actual_model
# Return the evaluation response and the completion text to update the interface
return evaluation_response, model, completion_text
print(display_dict['card'])
with gr.Blocks() as app:
with gr.Row():
with gr.Column(scale=2): # This column is wider
# Use a Textbox to display the evaluation card content
evaluation_card = gr.Textbox(value=display_dict['card'], label="Evaluation Card", interactive=False)
model = gr.Textbox(value="", label="Model", placeholder='An anonymous Model', interactive=False)
completion = gr.Textbox(value="", label="Model's Completion", interactive=False)
with gr.Column(scale=1):
# Display the sampled question in a Textbox
question = gr.Textbox(value=question_text, label="Question", interactive=False)
reasoning = gr.Textbox(lines=5, placeholder="Your reasoning (optional)")
correctness = gr.Radio(choices=["Correct", "Incorrect"], label="I believe the model will answer this question")
confidence = gr.Slider(minimum=0, maximum=10, step=1, label="Confidence")
output_text = gr.Text(label="Evaluation Output") # Create an output text component
submit_button = gr.Button("Submit")
# This textbox will be used to display the model's completion
# When the button is clicked, it will update the content of the completion textbox
submit_button.click(fn=evaluate_guess, inputs=[reasoning, correctness, confidence], outputs=[output_text, model, completion])
app.launch() |