Update app.py

app.py

@@ -1,10 +1,6 @@
 import os
-os.system('pip install transformers')
-os.system('pip install datasets')
-os.system('pip install gradio')
-os.system('pip install minijinja')
-os.system('pip install PyMuPDF')
-
+import requests
+from bs4 import BeautifulSoup
 import gradio as gr
 from huggingface_hub import InferenceClient
 from transformers import pipeline
@@ -47,7 +43,7 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
     return response, history + [(message, response)]
 
 def generate_case_outcome(prosecutor_response, defense_response):
-    prompt = f"Prosecutor's argument: {prosecutor_response}\nDefense Attorney's argument: {defense_response}\nProvide the case details from verified sources and give the outcome along with reasons."
+    prompt = f"Prosecutor's argument: {prosecutor_response}\nDefense Attorney's argument: {defense_response}\nBased on verified sources, provide the case details and give the outcome along with reasons."
     evaluation = ""
     for message in client.chat_completion(
         [{"role": "system", "content": "Analyze the case and provide the outcome based on verified sources."},
@@ -105,19 +101,17 @@ def update_pdf_gallery_and_extract_text(pdf_files):
     return pdf_files, pdf_text
 
 def get_top_10_cases():
-    cases = [
-        {"name": "Smith v. Jones", "number": "CA12345"},
-        {"name": "Johnson v. State", "number": "CA67890"},
-        {"name": "Doe v. Roe", "number": "CA11223"},
-        {"name": "Brown v. Davis", "number": "CA44556"},
-        {"name": "Williams v. Taylor", "number": "CA77889"},
-        {"name": "Miller v. Anderson", "number": "CA99100"},
-        {"name": "Davis v. Martin", "number": "CA22334"},
-        {"name": "Garcia v. Clark", "number": "CA55667"},
-        {"name": "Rodriguez v. Lewis", "number": "CA88990"},
-        {"name": "Martinez v. Lee", "number": "CA10112"}
-    ]
-    return "\n".join([f"{case['name']} - Case Number: {case['number']}" for case in cases])
+    url = "https://www.courtlistener.com/?order_by=dateFiled+desc"
+    response = requests.get(url)
+    soup = BeautifulSoup(response.content, 'html.parser')
+    
+    cases = []
+    for item in soup.select('.search-result', limit=10):
+        case_name = item.select_one('.search-result-title a').text.strip()
+        case_number = item.select_one('.search-result-meta').text.strip().split()[-1]
+        cases.append(f"{case_name} - Case Number: {case_number}")
+    
+    return "\n".join(cases)
 
 def add_message(history, message):
     for x in message["files"]: