Update app.py

app.py

@@ -91,75 +91,4 @@ class URLValidator:
     def get_star_rating(self, score: float) -> tuple:
         """ Converts a score (0-100) into a 1-5 star rating. """
         stars = max(1, min(5, round(score / 20)))  # Normalize 100-scale to 5-star scale
-        return stars, "⭐" * stars
-
-    def generate_explanation(self, domain_trust, similarity_score, fact_check_score, bias_score, citation_score, final_score) -> str:
-        """ Generates a human-readable explanation for the score. """
-        reasons = []
-        if domain_trust < 50:
-            reasons.append("The source has low domain authority.")
-        if similarity_score < 50:
-            reasons.append("The content is not highly relevant to your query.")
-        if fact_check_score < 50:
-            reasons.append("Limited fact-checking verification found.")
-        if bias_score < 50:
-            reasons.append("Potential bias detected in the content.")
-        if citation_score < 30:
-            reasons.append("Few citations found for this content.")
-
-        return " ".join(reasons) if reasons else "This source is highly credible and relevant."
-
-    def rate_url_validity(self, user_query: str, url: str) -> dict:
-        """ Main function to evaluate the validity of a webpage. """
-        content = self.fetch_page_content(url)
-
-        domain_trust = self.get_domain_trust(url, content)
-        similarity_score = self.compute_similarity_score(user_query, content)
-        fact_check_score = self.check_facts(content)
-        bias_score = self.detect_bias(content)
-        citation_score = self.check_google_scholar(url)
-
-        final_score = (
-            (0.3 * domain_trust) +
-            (0.3 * similarity_score) +
-            (0.2 * fact_check_score) +
-            (0.1 * bias_score) +
-            (0.1 * citation_score)
-        )
-
-        stars, icon = self.get_star_rating(final_score)
-        explanation = self.generate_explanation(domain_trust, similarity_score, fact_check_score, bias_score, citation_score, final_score)
-
-        return {
-            "raw_score": {
-                "Domain Trust": domain_trust,
-                "Content Relevance": similarity_score,
-                "Fact-Check Score": fact_check_score,
-                "Bias Score": bias_score,
-                "Citation Score": citation_score,
-                "Final Validity Score": final_score
-            },
-            "stars": {
-                "score": stars,
-                "icon": icon
-            },
-            "explanation": explanation
-        }
-
-# User input fields
-user_prompt = "I have just been on an international flight, can I come back home to hold my 1-month-old newborn?"
-url_to_check = "https://www.mayoclinic.org/healthy-lifestyle/infant-and-toddler-health/expert-answers/air-travel-with-infant/faq-20058539"
-
-# Run validation when the button is clicked
-if st.button("Validate URL"):
-    if not user_prompt.strip() or not url_to_check.strip():
-        st.warning("Please enter both a search query and a URL.")  # Correct method call
-    else:
-        with st.spinner("Validating URL..."):
-            # Instantiate the URLValidator class
-            validator = URLValidator()
-            result = validator.rate_url_validity(user_prompt, url_to_check)
-
-        # Display results in JSON format
-        st.subheader("Validation Results")
-        st.json(result)
+        return stars, "⭐" * sta