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# app.py
import gradio as gr
from smart_web_analyzer import WebAnalyzer
from typing import Dict, List, Any
analyzer = WebAnalyzer()
def format_results(results: Dict[str, Any]) -> Dict[str, str]:
"""Format analysis results for Gradio components"""
if 'error' in results:
return {
"clean_text": f"❌ Error: {results['error']}",
"summary": "",
"sentiment": "",
"topics": ""
}
formatted = {}
# Format clean text
text = results.get('clean_text', 'No text extracted')
formatted["clean_text"] = text[:2000] + "..." if len(text) > 2000 else text
# Format summary
formatted["summary"] = (
f"**AI Summary:**\n{results['summary']}"
if 'summary' in results else ""
)
# Format sentiment
formatted["sentiment"] = (
f"**Sentiment Analysis:**\n{results['sentiment']}"
if 'sentiment' in results else ""
)
# Format topics
if 'topics' in results:
topics_list = sorted(
results['topics'].items(),
key=lambda x: x[1],
reverse=True
)
topics_text = "\n".join(
f"- **{topic}**: {score:.1%}"
for topic, score in topics_list
)
formatted["topics"] = f"**Detected Topics:**\n{topics_text}"
else:
formatted["topics"] = ""
return formatted
def validate_url(url: str) -> bool:
"""Basic URL validation"""
return bool(url and url.strip().startswith(('http://', 'https://')))
def update_button_state(url: str) -> Dict:
"""Update button state based on URL validity"""
return gr.update(interactive=validate_url(url))
with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
# Header
gr.Markdown(
"""
# 🌐 Smart Web Analyzer Plus
Analyze web content using AI to extract summaries, determine sentiment, and identify topics.
"""
)
# Input Section
with gr.Row():
with gr.Column(scale=4):
url_input = gr.Textbox(
label="Enter URL",
placeholder="https://example.com",
show_label=True
)
with gr.Column(scale=2):
modes = gr.CheckboxGroup(
choices=["summarize", "sentiment", "topics"],
label="Analysis Types",
value=["summarize"], # Default selection
show_label=True
)
with gr.Column(scale=1):
analyze_btn = gr.Button(
"Analyze",
variant="primary",
interactive=False
)
# Results Section
with gr.Tabs() as tabs:
with gr.TabItem("📜 Clean Text"):
clean_text_output = gr.Markdown()
with gr.TabItem("📝 Summary"):
summary_output = gr.Markdown()
with gr.TabItem("🎭 Sentiment"):
sentiment_output = gr.Markdown()
with gr.TabItem("📊 Topics"):
topics_output = gr.Markdown()
# Loading indicator
with gr.Row():
status = gr.Markdown("")
# Example Section
gr.Examples(
examples=[
["https://www.bbc.com/news/technology-67881954", ["summarize", "sentiment"]],
["https://arxiv.org/html/2312.17296v1", ["topics", "summarize"]]
],
inputs=[url_input, modes],
label="Try these examples"
)
# Event Handlers
url_input.change(
fn=update_button_state,
inputs=[url_input],
outputs=[analyze_btn],
queue=False
)
def on_analyze_start():
return gr.update(value="⏳ Analysis in progress...")
def on_analyze_end():
return gr.update(value="")
analyze_btn.click(
fn=on_analyze_start,
outputs=[status],
queue=False
).then(
fn=lambda url, m: format_results(analyzer.analyze(url, m)),
inputs=[url_input, modes],
outputs=[
clean_text_output,
summary_output,
sentiment_output,
topics_output
]
).then(
fn=on_analyze_end,
outputs=[status]
)
if __name__ == "__main__":
demo.launch(
share=False, # Set to True to create a public link
server_name="0.0.0.0", # Allow external connections
server_port=7860 # Default Gradio port
) |