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Update app.py
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app.py
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import gradio as gr
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from deliverable2 import URLValidator # Ensure this file exists
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import os
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os.system("pip install --upgrade --force-reinstall sentence-transformers")
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# Instantiate Validator
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validator = URLValidator()
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"How does climate change impact global weather?",
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"What are the latest advancements in AI?",
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"How does diet influence mental health?",
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"What are the effects of space travel on astronauts?",
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"Is cryptocurrency a safe investment?",
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"What are the advantages of renewable energy?",
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"How does deep learning work?",
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"What are the health risks of 5G technology?",
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"Is intermittent fasting effective for weight loss?",
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"How do electric vehicles compare to gas cars?"
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]
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sample_urls = [
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"https://www.nationalgeographic.com/environment/article/climate-change",
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"https://www.technologyreview.com/2023/05/01/latest-ai-advancements/",
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"https://www.health.harvard.edu/mind-and-mood/foods-linked-to-better-brainpower",
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"https://www.nasa.gov/hrp/long-term-health-risks-of-space-travel",
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"https://www.investopedia.com/terms/c/cryptocurrency.asp",
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"https://www.energy.gov/eere/renewable-energy",
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"https://www.ibm.com/cloud/deep-learning",
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"https://www.who.int/news-room/questions-and-answers/item/radiation-5g-mobile-networks-and-health",
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"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167940/",
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"https://www.tesla.com/blog/benefits-of-electric-vehicles"
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]
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return {
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"Domain Trust": result["raw_score"]["Domain Trust"],
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"Content Relevance": result["raw_score"]["Content Relevance"],
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"Fact-Check Score": result["raw_score"]["Fact-Check Score"],
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"Bias Score": result["raw_score"]["Bias Score"],
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"Citation Score": result["raw_score"]["Citation Score"],
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"Final Validity Score": result["raw_score"]["Final Validity Score"],
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"Star Rating": result["stars"]["icon"],
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"Explanation": result["explanation"]
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}
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# Create Gradio Interface
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with gr.Blocks() as app:
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gr.Markdown("## π URL Credibility Validator")
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gr.Markdown("### Validate the credibility of any webpage using AI")
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user_query = gr.Dropdown(sample_queries, label="Select a search query:")
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url_to_check = gr.Dropdown(sample_urls, label="Select a URL to validate:")
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validation_result = gr.Textbox(label="Validation Results", interactive=False)
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validate_button = gr.Button("Validate URL")
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app.launch()
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import gradio as gr
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from deliverable2 import URLValidator
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# Initialize Validator
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validator = URLValidator()
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def validate_url(user_query, url_to_check):
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result = validator.rate_url_validity(user_query, url_to_check)
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# β
Check if an error occurred before accessing "raw_score"
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if "Validation Error" in result:
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return f"β οΈ {result['Validation Error']}"
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# β
Access safely without crashing
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return {
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"Domain Trust": result.get("raw_score", {}).get("Domain Trust", "N/A"),
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"Content Relevance": result.get("raw_score", {}).get("Content Relevance", "N/A"),
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"Fact-Check Score": result.get("raw_score", {}).get("Fact-Check Score", "N/A"),
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"Bias Score": result.get("raw_score", {}).get("Bias Score", "N/A"),
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"Final Validity Score": result.get("raw_score", {}).get("Final Validity Score", "N/A"),
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"Star Rating": result.get("stars", {}).get("icon", "N/A"),
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"Explanation": result.get("explanation", "No explanation available.")
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}
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# UI Components
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query_options = [
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"How does climate change impact global weather?",
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"What are the latest advancements in AI?",
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"How does diet influence mental health?",
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"What are the effects of space travel on astronauts?",
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"Is cryptocurrency a safe investment?",
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"What are the advantages of renewable energy?",
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]
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url_options = [
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"https://www.nationalgeographic.com/environment/article/climate-change",
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"https://www.technologyreview.com/2023/05/01/latest-ai-advancements/",
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"https://www.health.harvard.edu/mind-and-mood/foods-linked-to-better-brainpower",
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"https://www.nasa.gov/hrp/long-term-health-risks-of-space-travel",
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]
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with gr.Blocks() as demo:
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gr.Markdown("# π URL Credibility Validator")
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gr.Markdown("Validate the credibility of any webpage using AI")
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user_query = gr.Dropdown(label="Select a search query:", choices=query_options)
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url_to_check = gr.Dropdown(label="Select a URL to validate:", choices=url_options)
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output = gr.JSON(label="Validation Results")
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btn = gr.Button("Validate URL")
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btn.click(fn=validate_url, inputs=[user_query, url_to_check], outputs=output)
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demo.launch()
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