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Analysis View Component - Main analysis interface with input and results
"""
import gradio as gr
import re
from typing import Optional
def parse_markdown(text: str) -> str:
"""Convert basic markdown to HTML"""
text = re.sub(r'\*\*(.+?)\*\*', r'<strong>\1</strong>', text)
text = re.sub(r'__(.+?)__', r'<strong>\1</strong>', text)
text = re.sub(r'\*(.+?)\*', r'<em>\1</em>', text)
# Bullet lists
lines = text.split('\n')
in_list = False
result = []
for line in lines:
stripped = line.strip()
if re.match(r'^[\*\-] ', stripped):
if not in_list:
result.append('<ul>')
in_list = True
item = re.sub(r'^[\*\-] ', '', stripped)
result.append(f'<li>{item}</li>')
else:
if in_list:
result.append('</ul>')
in_list = False
result.append(line)
if in_list:
result.append('</ul>')
return '\n'.join(result)
# Regex patterns for output parsing
_STAGE_RE = re.compile(r'\[STAGE:(\w+)\](.*?)\[/STAGE\]')
_THINKING_RE = re.compile(r'\[THINKING\](.*?)\[/THINKING\]')
_OBSERVATION_RE = re.compile(r'\[OBSERVATION\](.*?)\[/OBSERVATION\]')
_TOOL_OUTPUT_RE = re.compile(r'\[TOOL_OUTPUT:(.*?)\]\n(.*?)\[/TOOL_OUTPUT\]', re.DOTALL)
_RESULT_RE = re.compile(r'\[RESULT\](.*?)\[/RESULT\]')
_ERROR_RE = re.compile(r'\[ERROR\](.*?)\[/ERROR\]')
_GRADCAM_RE = re.compile(r'\[GRADCAM_IMAGE:[^\]]+\]\n?')
_RESPONSE_RE = re.compile(r'\[RESPONSE\]\n(.*?)\n\[/RESPONSE\]', re.DOTALL)
_COMPLETE_RE = re.compile(r'\[COMPLETE\](.*?)\[/COMPLETE\]')
_CONFIRM_RE = re.compile(r'\[CONFIRM:(\w+)\](.*?)\[/CONFIRM\]')
_REFERENCES_RE = re.compile(r'\[REFERENCES\](.*?)\[/REFERENCES\]', re.DOTALL)
_REF_RE = re.compile(r'\[REF:([^:]+):([^:]+):([^:]+):([^:]+):([^\]]+)\]')
def format_output(raw_text: str, gradcam_base64: Optional[str] = None) -> str:
"""Convert tagged output to styled HTML"""
html = raw_text
# Stage headers
html = _STAGE_RE.sub(
r'<div class="stage"><span class="stage-indicator"></span><span class="stage-text">\2</span></div>',
html
)
# Thinking
html = _THINKING_RE.sub(r'<div class="thinking">\1</div>', html)
# Observations
html = _OBSERVATION_RE.sub(r'<div class="observation">\1</div>', html)
# Tool outputs
html = _TOOL_OUTPUT_RE.sub(
r'<div class="tool-output"><div class="tool-header">\1</div><pre class="tool-content">\2</pre></div>',
html
)
# Results
html = _RESULT_RE.sub(r'<div class="result">\1</div>', html)
# Errors
html = _ERROR_RE.sub(r'<div class="error">\1</div>', html)
# GradCAM image
if gradcam_base64:
img_html = f'<div class="gradcam-inline"><div class="gradcam-header">Attention Map</div><img src="data:image/png;base64,{gradcam_base64}" alt="Grad-CAM"></div>'
html = _GRADCAM_RE.sub(img_html, html)
else:
html = _GRADCAM_RE.sub('', html)
# Response section
def format_response(match):
content = match.group(1)
parsed = parse_markdown(content)
parsed = re.sub(r'\n\n+', '</p><p>', parsed)
parsed = parsed.replace('\n', '<br>')
return f'<div class="response"><p>{parsed}</p></div>'
html = _RESPONSE_RE.sub(format_response, html)
# Complete
html = _COMPLETE_RE.sub(r'<div class="complete">\1</div>', html)
# Confirmation
html = _CONFIRM_RE.sub(
r'<div class="confirm-box"><div class="confirm-text">\2</div></div>',
html
)
# References
def format_references(match):
ref_content = match.group(1)
refs_html = ['<div class="references"><div class="references-header">References</div><ul>']
for ref_match in _REF_RE.finditer(ref_content):
_, source, page, filename, superscript = ref_match.groups()
refs_html.append(
f'<li><a href="guidelines/{filename}#page={page}" target="_blank" class="ref-link">'
f'<sup>{superscript}</sup> {source}, p.{page}</a></li>'
)
refs_html.append('</ul></div>')
return '\n'.join(refs_html)
html = _REFERENCES_RE.sub(format_references, html)
# Convert newlines
html = html.replace('\n', '<br>')
return f'<div class="analysis-output">{html}</div>'
def create_analysis_view():
"""
Create the analysis view component.
Returns:
Tuple of (container, components dict)
"""
with gr.Group(visible=False, elem_classes=["analysis-container"]) as container:
with gr.Row():
# Main content area
with gr.Column(elem_classes=["main-content"]):
# Input greeting (shown when no analysis yet)
with gr.Group(visible=True, elem_classes=["input-greeting"]) as input_greeting:
gr.Markdown("What would you like to analyze?", elem_classes=["greeting-title"])
gr.Markdown("Upload an image and describe what you'd like to know", elem_classes=["greeting-subtitle"])
with gr.Column(elem_classes=["input-box-container"]):
message_input = gr.Textbox(
placeholder="Describe the lesion or ask a question...",
show_label=False,
lines=3,
elem_classes=["message-input"]
)
# Image upload (compact)
image_input = gr.Image(
label="",
type="pil",
height=180,
elem_classes=["image-preview"],
show_label=False
)
with gr.Row(elem_classes=["input-actions"]):
upload_hint = gr.Markdown("*Upload a skin lesion image above*", visible=True)
send_btn = gr.Button("Analyze", elem_classes=["send-btn"], interactive=False)
# Chat/results view (shown after analysis starts)
with gr.Group(visible=False, elem_classes=["chat-view"]) as chat_view:
results_output = gr.HTML(
value='<div class="analysis-output">Starting analysis...</div>',
elem_classes=["results-area"]
)
# Confirmation buttons
with gr.Group(visible=False, elem_classes=["confirm-buttons"]) as confirm_group:
gr.Markdown("**Do you agree with this diagnosis?**")
with gr.Row():
confirm_yes_btn = gr.Button("Yes, continue", variant="primary", size="sm")
confirm_no_btn = gr.Button("No, I disagree", variant="secondary", size="sm")
feedback_input = gr.Textbox(
label="Your assessment",
placeholder="Enter your diagnosis...",
visible=False
)
submit_feedback_btn = gr.Button("Submit", visible=False, size="sm")
# Follow-up input
with gr.Row(elem_classes=["chat-input-area"]):
followup_input = gr.Textbox(
placeholder="Ask a follow-up question...",
show_label=False,
lines=1
)
followup_btn = gr.Button("Send", size="sm", elem_classes=["send-btn"])
components = {
"input_greeting": input_greeting,
"chat_view": chat_view,
"message_input": message_input,
"image_input": image_input,
"send_btn": send_btn,
"results_output": results_output,
"confirm_group": confirm_group,
"confirm_yes_btn": confirm_yes_btn,
"confirm_no_btn": confirm_no_btn,
"feedback_input": feedback_input,
"submit_feedback_btn": submit_feedback_btn,
"followup_input": followup_input,
"followup_btn": followup_btn,
"upload_hint": upload_hint
}
return container, components
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