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import gradio as gr | |
import pandas as pd | |
from deliverable2 import URLValidator # Ensure this file exists | |
# Instantiate Validator | |
validator = URLValidator() | |
# β Add Your Own Queries | |
sample_queries = [ | |
"How does climate change impact global weather?", | |
"What are the latest advancements in AI?", | |
"How does diet influence mental health?", | |
"What are the effects of space travel on astronauts?", | |
"Is cryptocurrency a safe investment?", | |
"What are the advantages of renewable energy?", | |
"How does deep learning work?", | |
"What are the health risks of 5G technology?", | |
"Is intermittent fasting effective for weight loss?", | |
"How do electric vehicles compare to gas cars?" | |
] | |
# β Add Your Own URLs | |
sample_urls = [ | |
"https://www.nationalgeographic.com/environment/article/climate-change", | |
"https://www.technologyreview.com/2023/05/01/latest-ai-advancements/", | |
"https://www.health.harvard.edu/mind-and-mood/foods-linked-to-better-brainpower", | |
"https://www.nasa.gov/hrp/long-term-health-risks-of-space-travel", | |
"https://www.investopedia.com/terms/c/cryptocurrency.asp", | |
"https://www.energy.gov/eere/renewable-energy", | |
"https://www.ibm.com/cloud/deep-learning", | |
"https://www.who.int/news-room/questions-and-answers/item/radiation-5g-mobile-networks-and-health", | |
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167940/", | |
"https://www.tesla.com/blog/benefits-of-electric-vehicles" | |
] | |
# Function to validate URLs | |
def validate_url(user_query, url_to_check): | |
result = validator.rate_url_validity(user_query, url_to_check) | |
return { | |
"Domain Trust": result["raw_score"]["Domain Trust"], | |
"Content Relevance": result["raw_score"]["Content Relevance"], | |
"Fact-Check Score": result["raw_score"]["Fact-Check Score"], | |
"Bias Score": result["raw_score"]["Bias Score"], | |
"Citation Score": result["raw_score"]["Citation Score"], | |
"Final Validity Score": result["raw_score"]["Final Validity Score"], | |
"Star Rating": result["stars"]["icon"], | |
"Explanation": result["explanation"] | |
} | |
# Create Gradio Interface | |
with gr.Blocks() as app: | |
gr.Markdown("## π URL Credibility Validator") | |
gr.Markdown("### Validate the credibility of any webpage using AI") | |
user_query = gr.Dropdown(sample_queries, label="Select a search query:") | |
url_to_check = gr.Dropdown(sample_urls, label="Select a URL to validate:") | |
validation_result = gr.Textbox(label="Validation Results", interactive=False) | |
validate_button = gr.Button("Validate URL") | |
def process(user_query, url_to_check): | |
return validate_url(user_query, url_to_check) | |
validate_button.click(fn=process, inputs=[user_query, url_to_check], outputs=validation_result) | |
# Launch Gradio App | |
app.launch() | |