Update app2.py

app2.py

@@ -516,7 +516,7 @@ def comprehensive_document_analysis(content: str) -> Dict[str, Any]:
         analysis_prompt = f"Analyze the following legal document and provide a summary, potential issues, and key clauses:\n\n{content}"
         document_analysis = get_ai_response(analysis_prompt)
         
-        topic_extraction_prompt = f"Extract the main topics or keywords from the following document summary:\n\n{document_analysis}"
+        topic_extraction_prompt = f"Extract the main topics or keywords from the following document summary relevant for web search and wikipedia search related to the document:\n\n{document_analysis}"
         topics = get_ai_response(topic_extraction_prompt)
         
         web_results = search_web(topics)
@@ -594,6 +594,7 @@ def find_case_precedents(case_details: str) -> Dict[str, Any]:
 
         Provide a well-structured summary highlighting the most relevant precedents and legal principles
         Do not introduce any hypothetical scenarios.
+        And if the information from web, wikipedia and case details are not available then ask the user reframe their prompt and resubmit the prompt and also generate a case summary based on the cases that have happened before based on the data you are trained on and do not include and of the hypothical data or fiction data and also tell the user that this summary is generated based on the data falcon 180B is trained on
         """
 
         summary = get_ai_response(compilation_prompt)
@@ -857,7 +858,9 @@ def analyze_contract(contract_text: str) -> Dict[str, Any]:
 
 def contract_analysis_ui():
     st.subheader("Contract Analyzer")
-
+    with st.expander("How to use"):
+        st.write('''upload the file and click on analyse contract it will generate analysis of that analysis.''')
+    st.warning("Do not upload too big files as it might end up consuming all the tokens and the response generattion will take too much time")
     uploaded_file = st.file_uploader(
         "Upload a contract document (PDF, DOCX, or TXT)",
         type=["pdf", "docx", "txt"],
@@ -1920,7 +1923,10 @@ if feature == "Legal Chatbot":
 
 elif feature == "Document Analysis":
     st.subheader("Legal Document Analyzer")
-    
+    with st.expander("How to use"):
+        st.write('''upload the file and it will generate analysis of that document.''')
+    st.warning("Do not upload too big files as it might end up consuming all the tokens and the response generattion will take too much time")
+    if 'precedents' not in st.session_state:
     uploaded_file = st.file_uploader("Upload a legal document (PDF, DOCX, or TXT)", type=["pdf", "docx", "txt"])
     
     if uploaded_file and st.button("Analyze Document"):