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09bfa0e
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Parent(s):
a2dd461
Move translations to top
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app.py
CHANGED
@@ -11,6 +11,18 @@ from argilla.client.feedback.dataset.remote.dataset import RemoteFeedbackDataset
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import gradio as gr
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import pandas as pd
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def obtain_source_target_datasets() -> (
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Tuple[
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@@ -84,7 +96,7 @@ def donut_chart_total() -> alt.Chart:
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source = pd.DataFrame(
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{
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"values": [annotated_records, pending_records],
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"category": [
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"colors": ["#4CAF50", "#757575"], # Green for Completed, Grey for Remaining
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}
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)
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@@ -94,7 +106,7 @@ def donut_chart_total() -> alt.Chart:
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radius=alt.Radius(
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"values", scale=alt.Scale(type="sqrt", zero=True, rangeMin=20)
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),
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color=alt.Color("category:N", legend=alt.Legend(title=
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)
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c1 = base.mark_arc(innerRadius=20, stroke="#fff")
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@@ -123,7 +135,7 @@ def donut_chart_target() -> alt.Chart:
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source = pd.DataFrame(
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{
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"values": [annotated_records, pending_records],
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"category": [
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"colors": ["#4CAF50", "#757575"], # Green for Completed, Grey for Remaining
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}
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)
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@@ -154,14 +166,14 @@ def kpi_chart_remaining() -> alt.Chart:
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pending_records = int(os.getenv("TARGET_RECORDS")) - len(target_dataset)
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# Assuming you have a DataFrame with user data, create a sample DataFrame
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data = pd.DataFrame({"Category": [
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# Create Altair chart
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chart = (
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alt.Chart(data)
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.mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
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.encode(text="Value:N")
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.properties(title=
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)
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return chart
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@@ -177,14 +189,14 @@ def kpi_chart_submitted() -> alt.Chart:
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total = len(target_dataset)
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# Assuming you have a DataFrame with user data, create a sample DataFrame
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data = pd.DataFrame({"Category": [
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# Create Altair chart
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chart = (
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alt.Chart(data)
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.mark_text(fontSize=100, align="center", baseline="middle", color="#e68b39")
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.encode(text="Value:N")
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.properties(title=
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)
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return chart
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@@ -203,7 +215,7 @@ def kpi_chart() -> alt.Chart:
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# Assuming you have a DataFrame with user data, create a sample DataFrame
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data = pd.DataFrame(
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{"Category": [
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)
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# Create Altair chart
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@@ -211,7 +223,7 @@ def kpi_chart() -> alt.Chart:
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alt.Chart(data)
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.mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
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.encode(text="Value:N")
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.properties(title=
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)
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return chart
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@@ -234,10 +246,10 @@ def obtain_top_5_users(user_ids_annotations: Dict[str, int]) -> pd.DataFrame:
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"""
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dataframe = pd.DataFrame(
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user_ids_annotations.items(), columns=[
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)
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dataframe[
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dataframe = dataframe.sort_values(by=
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return dataframe.head(50)
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@@ -357,7 +369,7 @@ def main() -> None:
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)
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top5_df_plot = gr.Dataframe(
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headers=[
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datatype=[
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"markdown",
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"number",
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import gradio as gr
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import pandas as pd
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# Translation of legends and titels
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ANNOTATED = 'Vertaald'
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NUMBER_ANNOTATED = 'Totaal vertaald'
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PENDING = 'Nog te gaan'
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NUMBER_ANNOTATORS = "Aantal vertalers"
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NAME = 'Username'
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NUMBER_ANNOTATIONS = 'Aantal vertalingen'
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CATEGORY = 'Categorie'
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def obtain_source_target_datasets() -> (
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Tuple[
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source = pd.DataFrame(
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{
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"values": [annotated_records, pending_records],
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"category": [ANNOTATED, PENDING],
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"colors": ["#4CAF50", "#757575"], # Green for Completed, Grey for Remaining
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}
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)
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radius=alt.Radius(
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"values", scale=alt.Scale(type="sqrt", zero=True, rangeMin=20)
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),
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color=alt.Color("category:N", legend=alt.Legend(title=CATEGORY)),
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)
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c1 = base.mark_arc(innerRadius=20, stroke="#fff")
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source = pd.DataFrame(
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{
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"values": [annotated_records, pending_records],
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"category": [ANNOTATED, PENDING],
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"colors": ["#4CAF50", "#757575"], # Green for Completed, Grey for Remaining
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}
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)
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pending_records = int(os.getenv("TARGET_RECORDS")) - len(target_dataset)
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# Assuming you have a DataFrame with user data, create a sample DataFrame
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data = pd.DataFrame({"Category": [PENDING], "Value": [pending_records]})
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# Create Altair chart
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chart = (
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alt.Chart(data)
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.mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
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.encode(text="Value:N")
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.properties(title=PENDING, width=250, height=200)
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)
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return chart
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total = len(target_dataset)
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# Assuming you have a DataFrame with user data, create a sample DataFrame
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data = pd.DataFrame({"Category": [NUMBER_ANNOTATED], "Value": [total]})
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# Create Altair chart
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chart = (
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alt.Chart(data)
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.mark_text(fontSize=100, align="center", baseline="middle", color="#e68b39")
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.encode(text="Value:N")
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.properties(title=NUMBER_ANNOTATED, width=250, height=200)
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)
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return chart
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# Assuming you have a DataFrame with user data, create a sample DataFrame
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data = pd.DataFrame(
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{"Category": [NUMBER_ANNOTATORS], "Value": [total_annotators]}
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)
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# Create Altair chart
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alt.Chart(data)
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.mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
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.encode(text="Value:N")
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.properties(title=NUMBER_ANNOTATORS, width=250, height=200)
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)
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return chart
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"""
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dataframe = pd.DataFrame(
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user_ids_annotations.items(), columns=[NAME, NUMBER_ANNOTATIONS]
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)
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dataframe[NAME] = dataframe[NAME].apply(render_hub_user_link)
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dataframe = dataframe.sort_values(by=NUMBER_ANNOTATIONS, ascending=False)
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return dataframe.head(50)
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)
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top5_df_plot = gr.Dataframe(
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headers=[NAME, NUMBER_ANNOTATIONS],
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datatype=[
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"markdown",
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"number",
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