Create app.py

app.py

@@ -0,0 +1,67 @@
+import gradio as gr
+import re
+from collections import defaultdict
+
+# Load and preprocess the data
+data = []
+categories = defaultdict(set)
+
+# Assuming the data loading part is kept outside a function so it loads once
+with open("Legal Issues Sheet1.csv", "r") as file:
+    next(file)  # Skip the header line
+    for line in file:
+        url, legal_issue_area = line.strip().split(",", 1)
+        data.append({"legal_issue_area": legal_issue_area.strip(), "url": url.strip()})
+        
+        # Categorization and Tagging
+        words = re.findall(r'\w+', legal_issue_area.lower())
+        for word in words:
+            categories[word].add(legal_issue_area.strip())
+
+# Indexing
+index = defaultdict(list)
+for entry in data:
+    legal_issue_area = entry["legal_issue_area"]
+    url = entry["url"]
+    words = re.findall(r'\w+', legal_issue_area.lower())
+    for word in words:
+        index[word].append((legal_issue_area, url))
+
+def search(query):
+    query = query.lower()
+    words = re.findall(r'\w+', query)
+    results = []
+    for word in words:
+        if word in index:
+            results.extend(index[word])
+    results = list(set(results))  # Remove duplicates
+    
+    # Ranking results based on relevance
+    ranked_results = []
+    for legal_issue_area, url in results:
+        score = sum(1 for word in words if word in legal_issue_area.lower())
+        ranked_results.append((score, legal_issue_area, url))
+    ranked_results.sort(reverse=True)
+    
+    formatted_results = []
+    for score, legal_issue_area, url in ranked_results:
+        category_words = [word for word in re.findall(r'\w+', legal_issue_area.lower()) if word in categories]
+        category = ", ".join(category_words)
+        formatted_results.append(f"- {legal_issue_area} ({category}): {url}")
+    
+    return "\n".join(formatted_results)
+
+def search_interface(query):
+    if not query:
+        return "Please enter a query."
+    return search(query)
+
+iface = gr.Interface(
+    fn=search_interface,
+    inputs=gr.Textbox(lines=2, placeholder="Enter your search query here..."),
+    outputs=gr.Textbox(lines=20),
+    title="Legal Issues Search",
+    description="Enter a query to search for legal issues and their respective URLs."
+)
+
+iface.launch()