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import gradio as gr | |
from src.analyzer import EventAnalyzer | |
from ui.format import ResultFormatter | |
from ui.styles import css | |
# Initialize analyzer | |
analyzer = EventAnalyzer() | |
async def process_input(text: str) -> str: | |
"""Process input text and return formatted HTML results.""" | |
result = await analyzer.analyze_event(text) | |
return ResultFormatter.format_results(result) | |
# Define example inputs | |
EXAMPLES = [ | |
["John from Tech Corp. is attending the meeting in Washington, DC tomorrow at 14:30 #tech"], | |
["Sarah Johnson and Mike Smith from Defense Systems Inc. are conducting training in Norfolk, VA on June 15th #defense #training"], | |
["Team meeting at headquarters with @commander_smith at 0900 #briefing"], | |
["Prof. Maria Garcia from MIT will present her research at Stanford University on quantum computing next Thursday at 15:00 PST #science #quantum"], | |
["Annual cybersecurity conference by InfoSec Systems at Dubai World Trade Centre from May 5-7, featuring keynote speaker Dr. James Wilson #security"], | |
["Emergency response drill coordinated by FEMA and local authorities in Houston, TX on April 2nd at 0800 hours #emergency #preparedness"] | |
] | |
# Create custom theme with better alert colors | |
theme = gr.themes.Soft( | |
primary_hue="blue", | |
secondary_hue="neutral", | |
) | |
# Create Gradio interface with custom layout | |
with gr.Blocks(theme=theme, css=css, title="Event Analysis System") as demo: | |
gr.Markdown("# Event Analysis System") | |
gr.Markdown("Analyze text to extract entities, assess confidence, and identify key event information with relationship tracking.") | |
with gr.Row(): | |
with gr.Column(scale=2): | |
input_box = gr.Textbox( | |
label="Event Text", | |
placeholder="Enter text to analyze (e.g., 'John from Tech Corp. is attending the meeting in Washington, DC tomorrow at 14:30 #tech')", | |
lines=3 | |
) | |
gr.Examples( | |
examples=EXAMPLES, | |
inputs=[input_box], | |
label="Example Inputs", | |
examples_per_page=6 | |
) | |
submit_btn = gr.Button("Submit", variant="primary") | |
with gr.Column(scale=3): | |
output = gr.HTML(label="Analysis Results") | |
# Event handlers | |
submit_btn.click(fn=process_input, inputs=input_box, outputs=output) | |
input_box.submit(fn=process_input, inputs=input_box, outputs=output) | |
if __name__ == "__main__": | |
demo.launch() |