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Update app.py
Browse files
app.py
CHANGED
@@ -4,12 +4,15 @@ from dataclasses import dataclass, field
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from typing import List, Optional, Dict
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from PIL import Image
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import pandas as pd
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import streamlit as st
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from huggingface_hub import HfFileSystem
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import streamlit.components.v1 as components
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@dataclass
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class Field:
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type: str
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@@ -23,19 +26,24 @@ class Field:
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other_params: Optional[Dict[str, object]] = field(default_factory=lambda: {})
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# Function to get user ID from URL
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def
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user_id = st.query_params.get(
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return user_id
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HF_TOKEN = os.environ.get("HF_TOKEN_WRITE2")
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print("is none?", HF_TOKEN is None)
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hf_fs = HfFileSystem(token=HF_TOKEN)
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########################################################################################
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# CHANGE THE FOLLOWING VARIABLES ACCORDING TO YOUR NEEDS
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input_repo_path = 'datasets/emvecchi/annotation'
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output_repo_path = 'datasets/emvecchi/annotation
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to_annotate_file_name = 'to_annotate.csv' # CSV file to annotate
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COLS_TO_SAVE = ['comment_id','comment','confidence_score']
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@@ -128,6 +136,21 @@ Please indicate, in the box below, that you are at least 18 years old, have read
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'''
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guidelines_text = 'Please read <a href="https://acrobat.adobe.com/id/urn:aaid:sc:EU:1a1347b0-3423-49ee-aa28-87679f8a69c0">the guidelines</a>'
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study_code = 'CE552C7F'
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intro_fields: List[Field] = [
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Field(type="container", title="**Introductory Questions**", children=[
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@@ -201,10 +224,23 @@ SHOW_HELP_ICON = False
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SHOW_VALIDATION_ERROR_MESSAGE = True
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########################################################################################
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def read_saved_data():
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_path = get_path()
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@@ -215,17 +251,21 @@ def read_saved_data():
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except json.JSONDecodeError as e:
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print(e)
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return None
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-
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# Write a remote file
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def save_data(data):
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hf_fs.
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with hf_fs.open(f"{output_repo_path}/{get_path()}", "w") as f:
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f.write(json.dumps(data))
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def get_path():
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return f"{
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def display_image(image_path):
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@@ -276,15 +316,13 @@ def show_field(f: Field, index: int, data_collected):
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st.session_state.following_mandatory = False
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match f.type:
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case 'input_col':
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st.
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if
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st.write(f.title)
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else:
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st.write(st.session_state.data.iloc[index][f.name])
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case 'markdown':
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st.markdown(f.title)
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case 'expander' | 'container':
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@@ -293,6 +331,8 @@ def show_field(f: Field, index: int, data_collected):
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st.markdown(f.title)
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for child in f.children:
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show_field(child, index, data_collected)
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else:
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key = f.name + str(index)
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st.session_state.data_inputs_keys.append(f.name)
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@@ -302,17 +342,32 @@ def show_field(f: Field, index: int, data_collected):
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f.title = f'**{f.title}**\n\n{f.help}' if f.help else f.title
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validation_error = False
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-
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-
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if st.session_state[key] == INPUT_FIELD_DEFAULT_VALUES[f.type]:
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st.session_state.valid = False
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validation_error = True
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elif f.following_mandatory_values and st.session_state[key] in f.following_mandatory_values:
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st.session_state.following_mandatory = True
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f.title += " :red[* required!]" if (validation_error and not SHOW_VALIDATION_ERROR_MESSAGE) else' :red[*]'
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f.help = None
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match f.type:
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case 'checkbox':
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st.checkbox(f.title,
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@@ -362,6 +417,7 @@ def show_field(f: Field, index: int, data_collected):
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st.text_area(f.title, key=key, value=value, max_chars=None)
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if validation_error:
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st.error(f"Mandatory field")
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@@ -377,24 +433,31 @@ def show_fields(fields: List[Field]):
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submitted = st.form_submit_button("Submit")
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if submitted:
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if
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st.error("Please fill in all mandatory fields")
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# st.rerun() # filed-out values are not shown otherwise
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else:
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with st.spinner(text="saving"):
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'user_id': st.session_state.user_id,
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'index': st.session_state.current_index,
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**(st.session_state.data.iloc[index][COLS_TO_SAVE].to_dict() if index >= 0 else {}),
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**{k: st.session_state[k+str(index)] for k in st.session_state.data_inputs_keys}
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})
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st.success("Feedback submitted successfully!")
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navigate(1)
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st.session_state.form_displayed = st.session_state.current_index
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#st.set_page_config(layout='wide')
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# Title of the app
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st.title("Moderator Intervention Prediction")
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@@ -404,19 +467,46 @@ st.markdown(
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div[data-testid="stMarkdownContainer"] > p {
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font-size: 1rem;
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}
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section.main > div {max-width:
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</style>
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""", unsafe_allow_html=True)
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# Load the data to annotate
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if 'data' not in st.session_state:
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st.session_state.data = read_data(
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#
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if 'current_index' not in st.session_state:
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st.session_state.form_displayed = -3
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def add_validated_submit(fields, message):
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st.session_state.form_displayed = st.session_state.current_index
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else:
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navigate(1)
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def add_checked_submit():
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check = st.checkbox('I agree', key='consent')
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add_validated_submit([check], "Please agree to give your consent to proceed")
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def add_annotation_guidelines():
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st.write(f"username is {st.session_state.user_id}")
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st.markdown(
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"<details open><summary>Annotation Guidelines</summary>" + guidelines_text + "</details>"
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, unsafe_allow_html=True)
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if st.session_state.current_index == -3:
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with st.form("data_form"):
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st.markdown(consent_text)
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add_checked_submit()
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elif st.session_state.current_index == -2:
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-
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if user_id_from_url:
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st.session_state.user_id = user_id_from_url
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navigate(1)
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else:
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with st.form("data_form"):
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from typing import List, Optional, Dict
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from PIL import Image
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import numpy as np
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import pandas as pd
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import streamlit as st
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from fsspec.implementations.local import LocalFileSystem
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from huggingface_hub import HfFileSystem
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import streamlit.components.v1 as components
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@dataclass
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class Field:
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type: str
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other_params: Optional[Dict[str, object]] = field(default_factory=lambda: {})
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# Function to get user ID from URL
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def get_param_from_url(param):
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user_id = st.query_params.get(param, "")
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return user_id
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########################################################################################
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# CHANGE THE FOLLOWING VARIABLES ACCORDING TO YOUR NEEDS
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# 'local' or 'hf'. hf is for Hugging Face file system but has limits on the number of access per hour
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filesytem = 'hf'
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# path to repo or local file system TODO rename
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input_repo_path = 'datasets/emvecchi/annotation'
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output_repo_path = 'datasets/emvecchi/annotation
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# filesystem = 'local'
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# path to repo or local file system
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# input_repo_path = '/data/mod-gen-eval-pref'
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# output_repo_path = '/data/mod-gen-eval-pref'
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to_annotate_file_name = 'to_annotate.csv' # CSV file to annotate
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COLS_TO_SAVE = ['comment_id','comment','confidence_score']
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'''
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guidelines_text = 'Please read <a href="https://acrobat.adobe.com/id/urn:aaid:sc:EU:1a1347b0-3423-49ee-aa28-87679f8a69c0">the guidelines</a>'
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study_code = 'CE552C7F'
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# failed_sanity_check_code = 'C102EK63' # screened-out code
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failed_sanity_check_code = 'C15RGLJA'
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redirect_url = f'https://app.prolific.com/submissions/complete?cfc={study_code}'
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annotation_guidelines_fields: List[Field] = [
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Field(name="annotation_guidelines", type="radio", title="Did you read the guidelines?", mandatory=True,
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other_params={'labels': ['Yes, in detail, and I understand the study',
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'Yes, in detail, but still confused',
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'Yes, I skimmed it',
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'I will read it later',
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'No, not interested in reading them',
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'I can not open the link',
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],
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'accepted_values': [0]}),
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]
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intro_fields: List[Field] = [
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Field(type="container", title="**Introductory Questions**", children=[
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SHOW_VALIDATION_ERROR_MESSAGE = True
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########################################################################################
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if filesystem == 'hf':
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HF_TOKEN = os.environ.get("HF_TOKEN_WRITE2")
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print("is none?", HF_TOKEN is None)
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hf_fs = HfFileSystem(token=HF_TOKEN)
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else:
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hf_fs = LocalFileSystem()
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def get_start_index():
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if hf_fs.exists(output_repo_path + '/' + get_base_path()):
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files = hf_fs.ls(output_repo_path + '/' + get_base_path())
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return len(files) - 2
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else:
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return -3
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def read_data():
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with hf_fs.open(input_repo_path + '/' + to_annotate_file_name) as f:
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return pd.read_csv(f)
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def read_saved_data():
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_path = get_path()
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except json.JSONDecodeError as e:
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print(e)
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return None
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# Write a remote file
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def save_data(data):
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if not hf_fs.exists(f"{output_repo_path}/{get_base_path()}"):
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hf_fs.mkdir(f"{output_repo_path}/{get_base_path()}")
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with hf_fs.open(f"{output_repo_path}/{get_path()}", "w") as f:
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f.write(json.dumps(data))
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def get_base_path():
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return f"{st.session_state.user_id}"
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def get_path():
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return f"{get_base_path()}/{st.session_state.current_index}.json"
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def display_image(image_path):
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st.session_state.following_mandatory = False
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match f.type:
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case 'input_col':
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value = st.session_state.data.iloc[index][f.name]
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if value and value is not np.nan:
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st.write(f.title)
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if f.name == 'image_name':
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display_image(os.path.join(input_repo_path, 'images', value))
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else:
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st.write(value)
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case 'markdown':
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st.markdown(f.title)
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case 'expander' | 'container':
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st.markdown(f.title)
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for child in f.children:
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show_field(child, index, data_collected)
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case 'skip_checkbox':
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st.checkbox(f.title, key=f.name, value=False)
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else:
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key = f.name + str(index)
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st.session_state.data_inputs_keys.append(f.name)
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f.title = f'**{f.title}**\n\n{f.help}' if f.help else f.title
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validation_error = False
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# form is not displayed for first time
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if st.session_state.form_displayed == st.session_state.current_index:
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if f.mandatory or st.session_state.following_mandatory:
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if st.session_state[key] == INPUT_FIELD_DEFAULT_VALUES[f.type]:
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st.session_state.valid = False
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validation_error = True
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elif f.following_mandatory_values and st.session_state[key] in f.following_mandatory_values:
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st.session_state.following_mandatory = True
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# check for any unaccepted values
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if (
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(f.other_params.get('accepted_values') and
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value not in f.other_params.get('accepted_values')) or
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(f.other_params.get('accepted_values_per_sample') and
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index in f.other_params.get('accepted_values_per_sample') and
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value not in f.other_params.get('accepted_values_per_sample').get(index))
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):
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st.session_state.unacceptable_response = True
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if f.mandatory or st.session_state.following_mandatory:
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f.title += " :red[* required!]" if (validation_error and not SHOW_VALIDATION_ERROR_MESSAGE) else' :red[*]'
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f.help = None
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match f.type:
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case 'checkbox':
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st.checkbox(f.title,
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st.text_area(f.title, key=key, value=value, max_chars=None)
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if validation_error:
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st.session_state.unacceptable_response = False
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st.error(f"Mandatory field")
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submitted = st.form_submit_button("Submit")
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if submitted:
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if 'unacceptable_response' in st.session_state and st.session_state.unacceptable_response:
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prep_and_save_data(index, ('skip' in st.session_state and st.session_state['skip']))
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st.rerun()
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skip_sample = ('skip' in st.session_state and st.session_state['skip'])
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if not skip_sample and not st.session_state.valid:
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st.error("Please fill in all mandatory fields")
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# st.rerun() # filed-out values are not shown otherwise
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else:
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with st.spinner(text="saving"):
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prep_and_save_data(index, skip_sample)
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st.success("Feedback submitted successfully!")
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navigate(1)
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st.session_state.form_displayed = st.session_state.current_index
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def prep_and_save_data(index, skip_sample):
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save_data({
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'user_id': st.session_state.user_id,
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'index': st.session_state.current_index,
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**(st.session_state.data.iloc[index][COLS_TO_SAVE].to_dict() if index >= 0 else {}),
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**{k: st.session_state[k + str(index)] for k in st.session_state.data_inputs_keys},
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'skip': skip_sample
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})
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# st.set_page_config(layout='wide')
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# Title of the app
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st.title("Moderator Intervention Prediction")
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div[data-testid="stMarkdownContainer"] > p {
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font-size: 1rem;
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}
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section.main > div {max-width:60rem}
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</style>
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""", unsafe_allow_html=True)
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def add_annotation_guidelines():
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st.write(f"username is {st.session_state.user_id}")
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477 |
+
st.markdown(
|
478 |
+
"<details open><summary><b>Annotation Guidelines</b></summary>" + guidelines_text + "</details><br>"
|
479 |
+
, unsafe_allow_html=True)
|
480 |
+
|
481 |
+
|
482 |
+
if 'unacceptable_response' in st.session_state and st.session_state.unacceptable_response:
|
483 |
+
add_annotation_guidelines()
|
484 |
+
st.error("You are not eligible for this study. Thank you for your time!" +
|
485 |
+
("" if st.session_state.current_index < 0 else
|
486 |
+
#" You will receive a small compensation as explained in the guidelines. "
|
487 |
+
"Please email eva-maria.vecchi@ims.uni-stuttgart.de for issues or questions."
|
488 |
+
))
|
489 |
+
st.stop()
|
490 |
+
|
491 |
+
|
492 |
# Load the data to annotate
|
493 |
if 'data' not in st.session_state:
|
494 |
+
st.session_state.data = read_data()
|
495 |
+
|
496 |
+
# user id
|
497 |
+
user_id_from_url = get_param_from_url("user_id")
|
498 |
+
if user_id_from_url:
|
499 |
+
st.session_state.user_id = user_id_from_url
|
500 |
|
501 |
+
# current index
|
502 |
if 'current_index' not in st.session_state:
|
503 |
+
start_index = get_start_index()
|
504 |
+
st.session_state.current_index = start_index
|
505 |
st.session_state.form_displayed = -3
|
506 |
|
507 |
+
if get_param_from_url('show_extra_fields'):
|
508 |
+
fields += url_conditional_fields
|
509 |
+
|
510 |
|
511 |
def add_validated_submit(fields, message):
|
512 |
st.session_state.form_displayed = st.session_state.current_index
|
|
|
516 |
else:
|
517 |
navigate(1)
|
518 |
|
519 |
+
|
520 |
def add_checked_submit():
|
521 |
check = st.checkbox('I agree', key='consent')
|
522 |
add_validated_submit([check], "Please agree to give your consent to proceed")
|
523 |
|
524 |
|
|
|
|
|
|
|
|
|
|
|
525 |
if st.session_state.current_index == -3:
|
526 |
with st.form("data_form"):
|
527 |
st.markdown(consent_text)
|
528 |
add_checked_submit()
|
529 |
|
530 |
elif st.session_state.current_index == -2:
|
531 |
+
if st.session_state.get('user_id'):
|
|
|
|
|
532 |
navigate(1)
|
533 |
else:
|
534 |
with st.form("data_form"):
|