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import gradio as gr
import requests
import markdown
def create_chat_html(messages, dataset_id, offset, compare_mode=False, column=""):
chat_html = ""
turn_number = 1
for i in range(0, len(messages), 2):
user_message = messages[i]
system_message = messages[i + 1] if i + 1 < len(messages) else None
user_role = user_message["role"]
user_content = user_message["content"]
user_content_html = markdown.markdown(user_content)
user_content_length = len(user_content)
user_html = f'<div class="user-message" style="justify-content: right;">'
user_html += f'<div class="message-content">'
user_html += (
f"<strong>Turn {turn_number} - {user_role.capitalize()}:</strong><br>"
)
user_html += f"<em>Length: {user_content_length} characters</em><br><br>"
user_html += f"{user_content_html}"
user_html += "</div></div>"
chat_html += user_html
if system_message:
system_role = system_message["role"]
system_content = system_message["content"]
system_content_html = markdown.markdown(system_content)
system_content_length = len(system_content)
system_html = f'<div class="system-message" style="justify-content: left;">'
system_html += f'<div class="message-content">'
system_html += f"<strong>{system_role.capitalize()}:</strong><br>"
system_html += (
f"<em>Length: {system_content_length} characters</em><br><br>"
)
system_html += f"{system_content_html}"
system_html += "</div></div>"
chat_html += system_html
turn_number += 1
if compare_mode:
chat_html = f'<div class="column {column}">{chat_html}</div>'
style = """
<style>
.user-message, .system-message {
display: flex;
margin: 10px;
}
.user-message .message-content {
background-color: #c2e3f7;
color: #000000;
}
.system-message .message-content {
background-color: #f5f5f5;
color: #000000;
}
.message-content {
padding: 10px;
border-radius: 10px;
max-width: 70%;
word-wrap: break-word;
}
.container {
display: flex;
justify-content: space-between;
}
.column {
width: 48%;
}
</style>
"""
dataset_url = f"https://huggingface.co/datasets/{dataset_id}/viewer/default/train?row={offset}"
dataset_link = f"[View dataset row]({dataset_url})"
return dataset_link, style + chat_html
def fetch_data(
dataset_id, chosen_column, rejected_column, current_offset, direction, compare_mode
):
change = 1 if direction == "Next" else -1
new_offset = max(0, current_offset + change)
base_url = f"https://datasets-server.huggingface.co/rows?dataset={dataset_id}&config=default&split=train&offset={new_offset}&length=1"
response = requests.get(base_url)
if response.status_code != 200:
return "", "Failed to fetch data", new_offset
data = response.json()
if compare_mode:
if chosen_column and rejected_column:
chosen_messages = data["rows"][0]["row"].get(chosen_column, [])
rejected_messages = data["rows"][0]["row"].get(rejected_column, [])
chosen_link, chosen_html = create_chat_html(
chosen_messages,
dataset_id,
new_offset,
compare_mode=True,
column="chosen",
)
rejected_link, rejected_html = create_chat_html(
rejected_messages,
dataset_id,
new_offset,
compare_mode=True,
column="rejected",
)
chat_html = f'<div class="container">{chosen_html}{rejected_html}</div>'
else:
return (
"",
"Please provide both chosen and rejected columns for comparison",
new_offset,
)
else:
if chosen_column:
messages = data["rows"][0]["row"].get(chosen_column, [])
else:
for key, value in data["rows"][0]["row"].items():
if (
isinstance(value, list)
and len(value) > 0
and isinstance(value[0], dict)
and "role" in value[0]
):
messages = value
break
else:
return "", "No suitable chat column found", new_offset
_, chat_html = create_chat_html(messages, dataset_id, new_offset)
dataset_url = f"https://huggingface.co/datasets/{dataset_id}/viewer/default/train?row={new_offset}"
dataset_link = f"[View dataset row]({dataset_url})"
return dataset_link, chat_html, new_offset
def update_column_names(compare_mode):
if compare_mode:
return "chosen", "rejected"
else:
return "", ""
with gr.Blocks() as demo:
with gr.Row():
dataset_id = gr.Textbox(
label="Dataset ID", placeholder="e.g., davanstrien/cosmochat"
)
chosen_column = gr.Textbox(
label="Chosen Column",
placeholder="Column containing chosen chat data",
)
rejected_column = gr.Textbox(
label="Rejected Column",
placeholder="Column containing rejected chat data",
)
compare_mode = gr.Checkbox(label="Compare chosen and rejected chats")
current_offset = gr.State(value=0)
with gr.Row():
back_button = gr.Button("Back")
next_button = gr.Button("Next")
dataset_link = gr.Markdown()
output_html = gr.HTML()
compare_mode.change(
fn=update_column_names,
inputs=compare_mode,
outputs=[chosen_column, rejected_column],
)
back_button.click(
lambda data, chosen, rejected, offset, compare: fetch_data(
data, chosen, rejected, offset, "Back", compare
),
inputs=[
dataset_id,
chosen_column,
rejected_column,
current_offset,
compare_mode,
],
outputs=[dataset_link, output_html, current_offset],
)
next_button.click(
lambda data, chosen, rejected, offset, compare: fetch_data(
data, chosen, rejected, offset, "Next", compare
),
inputs=[
dataset_id,
chosen_column,
rejected_column,
current_offset,
compare_mode,
],
outputs=[dataset_link, output_html, current_offset],
)
demo.launch(debug=True, share=True)
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