#!/usr/bin/env python3 """ Streamlit app for Block 2 – Contextual Evaluation. Participants hear an audio mixture + model output without seeing the instruction. They imagine wearing noise-cancelling headphones and judge whether the headphone behaviour was appropriate, plus rate extraction quality. Run: streamlit run app_block2.py """ from __future__ import annotations import time from typing import Dict, List import streamlit as st from shared import ( BLOCK_2_AUDIO_DIR, MOS_LABELS, MOS_SCALE, advance_sample, append_response, build_response_record, get_block_audio_dir, init_session_state_single_block, load_block_metadata, render_intro_page, render_instruction_page, render_participant_gate, render_sidebar_progress, rerun_app, validate_audio_files, ) BLOCK_NUM = 2 # --------------------------------------------------------------------------- # Text content # --------------------------------------------------------------------------- INTRO_DESCRIPTION = ( "In this study, you'll use headphones to evaluate how a model " "processes audio scenes.\n\n" "**Contextual Evaluation:** You will hear the original audio mixture " "and the model's output, but without seeing any instruction. Instead, imagine " "you are wearing noise-cancelling headphones that reacted to your environment. " "You will judge whether the headphone did the right thing and rate the quality " "of the extracted audio.\n\n" "Each sample takes about 30–60 seconds. You can take a break between samples " "by exiting the app and returning later with the same participant ID." ) INSTRUCTIONS_TEXT = ( "Each sample will guide you through these steps:\n\n" "**Step 1: Listen** – Press Play to hear both the original audio mixture " "(what the headphone heard) and the model's output (what the headphone produced). " "Listen to each clip at least once.\n\n" "**Step 2: Answer Questions** – Rate the model's performance using the " "questions provided.\n\n" "Imagine you are wearing noise-cancelling headphones. " "The headphone heard the environment around you and produced the output you hear. " "Your job is to evaluate whether the headphone did the right thing.\n\n" "There are two questions per sample:\n" "1. Did the headphone do the right thing? (Yes / No)\n" "2. Rate the quality / purity of the extracted audio (1–5 MOS scale)\n\n" "The MOS scale is:\n" "1 – Very Poor | 2 – Poor | 3 – Fair | 4 – Good | 5 – Excellent\n\n" "Click **I understand and I'm ready to begin** when you're ready." ) # =================================================================== # Block 2 sample renderer # =================================================================== def render_block_2_sample(samples: List[Dict]) -> None: order = st.session_state.sample_order idx = st.session_state.sample_index if idx >= len(order): st.session_state.block_complete = True st.success( "Thank you! You have completed all samples. " "You may close this window." ) return sample_id = order[idx] sample = next(s for s in samples if s["sample_id"] == sample_id) audio_dir = get_block_audio_dir(2) st.markdown( f"### Contextual Evaluation   " f"(Sample {idx + 1} of {len(order)})" ) scene_name = sample.get("scene_name", "this environment") st.info( f"Imagine you are at **{scene_name}** wearing noise-cancelling headphones. " "Your headphone heard the environment and produced the output below." ) # Audio playback – two columns col1, col2 = st.columns(2) with col1: st.markdown("**What your headphone heard (input mixture):**") st.audio(str(audio_dir / sample["mixture_file"])) with col2: st.markdown("**What your headphone produced (output):**") st.audio(str(audio_dir / sample["output_file"])) # "I finished listening" gate unlock_key = f"b2_{sample_id}_unlocked" if not st.session_state.get(unlock_key, False): if st.button("I finished listening", key=f"unlock_b2_{sample_id}"): st.session_state[unlock_key] = True st.session_state[f"b2_{sample_id}_start"] = time.time() rerun_app() st.info("Questions will appear after you confirm listening.") return elif f"b2_{sample_id}_start" not in st.session_state: st.session_state[f"b2_{sample_id}_start"] = time.time() # Questions form with st.form(key=f"b2_form_{sample_id}"): st.markdown("#### Question 1: Did the headphone do the right thing?") contextual_correct = st.radio( "Given the input environment, did the headphone react appropriately?", options=["Yes", "No"], index=None, horizontal=True, key=f"b2_q1_{sample_id}", ) st.markdown("#### Question 2: Rate the quality / purity of the extracted audio") quality_mos = st.select_slider( "Rate from 1 (Very Poor) to 5 (Excellent)", options=MOS_SCALE, format_func=lambda v: MOS_LABELS[v], key=f"b2_q2_{sample_id}", ) submit = st.form_submit_button("Submit and continue") if submit: errors = [] if contextual_correct is None: errors.append("Please answer whether the headphone reacted appropriately.") if quality_mos is None: errors.append("Please rate the extraction quality.") if errors: for e in errors: st.warning(e) else: record = build_response_record( sample, block="block_2", audio_dir=audio_dir, extraction_quality_mos=quality_mos, contextual_correct=contextual_correct, start_time_key=f"b2_{sample_id}_start", ) append_response(record, st.session_state.participant_id, BLOCK_NUM) advance_sample(2, sample_id) for suffix in [f"b2_q1_{sample_id}", f"b2_q2_{sample_id}"]: st.session_state.pop(suffix, None) rerun_app() # =================================================================== # Main # =================================================================== def main() -> None: st.set_page_config( page_title="Block 2: Contextual Evaluation", layout="centered", ) samples = load_block_metadata(BLOCK_NUM) samples = validate_audio_files(samples, BLOCK_2_AUDIO_DIR) if not samples: st.error( "No valid audio samples found for Block 2. " "Please add audio files to block_2_audio/." ) st.stop() init_session_state_single_block() # Page flow if not st.session_state.get("participant_profile"): render_participant_gate(BLOCK_NUM, samples, study_title="Block 2: Contextual Evaluation") return if not st.session_state.get("intro_page_complete", False): render_intro_page(INTRO_DESCRIPTION) return if not st.session_state.get("instructions_page_complete", False): render_instruction_page(BLOCK_NUM, samples, INSTRUCTIONS_TEXT) return if not st.session_state.participant_initialized: st.warning("Initializing session. Please wait...") return render_sidebar_progress(BLOCK_NUM) render_block_2_sample(samples) if __name__ == "__main__": main()