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0793785 f2b81d9 cc62222 0793785 f2b81d9 0793785 cc62222 0793785 | 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 61 62 63 64 | import gradio as gr
from ui.formatting import format_history
from urllib.parse import urlparse, parse_qs
import pandas as pd
CSV_FILE = "20260316_131636_llm_responses.csv"
def load_app(request: gr.Request):
prolific_id = request.query_params.get("prolific_id", "RACHEL-TEST") # TODO: change
# use prolific_id to determine which page to show, log it, etc.
return prolific_id
def get_prompt_and_responses(prolific_id):
df = pd.read_csv(CSV_FILE)
filtered_df = df[df.prolific_id == prolific_id].iloc[0]
print(filtered_df["prompt"])
print(filtered_df["response_a"])
print(filtered_df["response_b"])
return filtered_df["prompt"], filtered_df["response_a"], filtered_df["response_b"]
def update_display(prolific_id):
print(prolific_id)
prompt, response_a, response_b = get_prompt_and_responses(prolific_id)
history = [{
"user": prompt,
"response_a": response_a,
"response_b": response_b,
"highlight": "none" # or whatever default
}]
return prompt, response_a, response_b, history, format_history(history)
def create_interface():
with gr.Blocks(title="Minimal LM Arena", theme=gr.themes.Default()) as demo:
# State variables for conversation history
# conversation_id_state = gr.State()
prolific_id_state = gr.State("") # TODO: remove later
prompt_state = gr.State("")
response_a_state = gr.State("")
response_b_state = gr.State("")
history_state = gr.State([]) # Store history as state
conversation_display = gr.HTML(label="Conversation")
# Also trigger on initial load
demo.load(
load_app,
inputs=None,
outputs=[prolific_id_state]
).then(
update_display,
inputs=[prolific_id_state],
outputs=[prompt_state, response_a_state, response_b_state, history_state, conversation_display]
)
return demo |