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| import io,json,os,threading,time,uuid | |
| from pathlib import Path | |
| from datetime import datetime,timezone | |
| import gradio as gr | |
| from huggingface_hub import HfApi | |
| ROOT=Path(__file__).parent | |
| QS=json.loads((ROOT/'questions.json').read_text()) | |
| LOCK=threading.Lock() | |
| CRITERIA='''## Judging criteria | |
| **At least one option fits in every question.** Two or all three may also fit. For each image, choose **Fits** or **Does not fit**. | |
| - **Surface fit:** the object’s entire footprint must stay within the usable top surface. | |
| - **Container fit:** the entire rigid object must fit inside the container without protruding. | |
| ''' | |
| def new_state():return {'id':str(uuid.uuid4()),'index':0,'answers':{},'start':time.time(),'submitted':False} | |
| def render(s): | |
| q=QS[s['index']];a=s['answers'].get(q['id'],{}) | |
| return [s,f"### Question {s['index']+1} of 24 · {'Surface fit' if q['domain']=='area' else 'Container fit'}\n\n{q['question']}",*[str(ROOT/'images'/Path(q['images'][l]).name) for l in 'ABC'],*[gr.update(value=a.get(l),interactive=not s['submitted']) for l in 'ABC'],gr.update(interactive=s['index']>0 and not s['submitted']),gr.update(value='Submit' if s['index']==23 else 'Next',interactive=not s['submitted']), ''] | |
| def init():return render(new_state()) | |
| def move(s,a,b,c,direction): | |
| if s is None:s=new_state() | |
| if s['submitted']:raise gr.Error('Your responses have already been submitted.') | |
| if direction==1 and any(v not in ['Fits','Does not fit'] for v in [a,b,c]):raise gr.Error('Please judge A, B, and C before continuing.') | |
| s['answers'][QS[s['index']]['id']]=dict(zip('ABC',[a,b,c])) | |
| if direction==1 and s['index']==23: | |
| if len(s['answers'])!=24 or any(any(v not in ['Fits','Does not fit'] for v in r.values()) for r in s['answers'].values()):raise gr.Error('Please answer all options before submitting.') | |
| token,repo=os.getenv('HF_TOKEN'),os.getenv('RESPONSES_REPO') | |
| if not token or not repo:raise gr.Error('Response storage is not configured. Please contact the study owner.') | |
| data={'participant_id':s['id'],'study_version':'fit-min1-24-20261009-v1','submitted_at':datetime.now(timezone.utc).isoformat(),'elapsed_seconds':int(time.time()-s['start']),'answers':{qid:{l:'Yes' if v=='Fits' else 'No' for l,v in row.items()} for qid,row in s['answers'].items()}} | |
| try: | |
| with LOCK:HfApi(token=token).upload_file(path_or_fileobj=io.BytesIO(json.dumps(data,indent=2).encode()),path_in_repo=f"responses/{s['id']}.json",repo_id=repo,repo_type='dataset',commit_message='Save FitTest submission') | |
| except Exception:raise gr.Error('Your submission was not saved. Please press Submit again.') | |
| s['submitted']=True;out=render(s);out[-1]=f"## Thank you!\nYour responses have been saved privately.\n\nReceipt: `{s['id']}`";return out | |
| s['index']=max(0,min(23,s['index']+direction));return render(s) | |
| def previous(s,a,b,c):return move(s,a,b,c,-1) | |
| def next_question(s,a,b,c):return move(s,a,b,c,1) | |
| with gr.Blocks(title='FitTest') as demo: | |
| gr.Markdown('# FitTest') | |
| gr.Markdown(CRITERIA) | |
| state=gr.State() | |
| question=gr.Markdown() | |
| imgs=[];radios=[] | |
| with gr.Row(): | |
| for l in 'ABC': | |
| with gr.Column(): | |
| imgs.append(gr.Image(label='Option '+l,interactive=False)) | |
| radios.append(gr.Radio(['Fits','Does not fit'],label=l,value=None)) | |
| with gr.Row(): | |
| prev=gr.Button('Previous');nxt=gr.Button('Next',variant='primary') | |
| status=gr.Markdown() | |
| outputs=[state,question,*imgs,*radios,prev,nxt,status] | |
| demo.load(init,outputs=outputs,api_name=False) | |
| prev.click(previous,inputs=[state,*radios],outputs=outputs,api_name=False) | |
| nxt.click(next_question,inputs=[state,*radios],outputs=outputs,api_name=False) | |
| gr.Markdown('Responses are visible only to the study owner. Please finish in one session; refreshing the page starts a new session.') | |
| if __name__=='__main__':demo.queue(default_concurrency_limit=8).launch() | |