Update app2.py

app2.py

@@ -1811,6 +1811,255 @@ def lawyer_finder_ui():
             else:
                 st.warning(f"No lawyers found in {city}, {state}. Try selecting a different city or state.")
 
+import streamlit as st
+import pandas as pd
+import plotly.express as px
+# ... other imports ... 
+
+def analyze_policy(policy_text: str) -> Dict[str, Any]:
+    """Analyzes the given policy text for its potential impact and benefits."""
+    analysis_prompt = f"""
+    Analyze the following policy text, taking into account US legal and societal contexts:
+
+    Policy Text:
+    ```
+    {policy_text}
+    ```
+
+    Provide a comprehensive analysis that includes:
+
+    * **Summary:** Briefly summarize the key points of the policy.
+    * **Large-Scale Impact:** Discuss the potential impact of this policy on a national or state level. Consider economic, social, and legal implications.
+    * **Small-Scale Impact:** Analyze how this policy might affect individuals, families, or specific communities within the US.
+    * **Long-Term Benefits:** What are the potential advantages of this policy in the long run (5-10 years or more)? 
+    * **Short-Term Benefits:** What benefits might be observed within the first few years of implementing this policy?
+    * **Potential Drawbacks:** Are there any possible negative consequences or challenges in implementing this policy?
+    * **Legal Considerations:**  Are there any existing US laws or regulations that this policy might conflict with or be affected by?
+    * **Historical Context:** Are there any historical parallels or past US policies that might inform the potential outcomes of this policy?
+    * **Suggestions for Improvement:**  Offer specific recommendations on how the policy could be modified to enhance its effectiveness or mitigate potential drawbacks.
+    * **Stakeholder Perspectives:** Identify different groups or entities in the US that might have an interest in this policy (e.g., businesses, consumers, government agencies), and how they might view it.
+
+    Support your analysis with relevant examples, statistics, or legal precedents from the US, where applicable. 
+    Maintain a neutral and objective tone, presenting both potential advantages and disadvantages of the policy.
+    """
+
+    try:
+        analysis = get_ai_response(analysis_prompt)
+        return {"analysis": analysis}
+    except Exception as e:
+        return {"error": f"Error analyzing policy: {str(e)}"}
+
+def policy_analysis_ui():
+    st.subheader("Policy Analysis & Impact")
+    with st.expander("How to use"):
+        st.write('''Enter the US policy text you want to analyze. 
+        LexAI will provide a comprehensive analysis of the policy's potential impact, benefits, drawbacks, and more.
+        ''')
+    
+    if 'policy_history' not in st.session_state:
+        st.session_state.policy_history = []
+
+    display_chat_history() 
+
+    policy_text = st.text_area("Enter the US policy text:", height=200)
+
+    if st.button("Analyze Policy"):
+        if policy_text:
+            with st.spinner("Analyzing policy..."):
+                analysis_results = analyze_policy(policy_text)
+
+                if "error" in analysis_results:
+                    st.error(analysis_results["error"])
+                else:
+                    st.write("### Policy Analysis")
+                    st.write(analysis_results.get("analysis", "No analysis available."))
+
+                    # Perform and display Wikipedia search
+                    wiki_result = search_wikipedia(policy_text)
+                    st.session_state.policy_history.append({
+                        'type': 'wikipedia',
+                        'summary': wiki_result.get("summary", "No summary available."),
+                        'url': wiki_result.get("url", "")
+                    })
+
+                    # Perform and display web search 
+                    web_results = search_web_duckduckgo(policy_text)
+                    st.session_state.policy_history.append({
+                        'type': 'web_search',
+                        'results': web_results
+                    })
+
+                    st.rerun()
+        else:
+            st.warning("Please enter policy text to analyze.")
+
+
+def legal_consultant_ui():
+    st.subheader("Legal Consultant")
+    with st.expander("How to use"):
+        st.write('''Describe your legal situation or ask your legal question related to US law. 
+        LexAI will provide information and guidance based on its understanding of the US legal system. 
+        Please remember that this is not a substitute for real legal advice from a qualified attorney.''')
+
+    if 'consultant_history' not in st.session_state:
+        st.session_state.consultant_history = []
+
+    display_chat_history()
+
+    user_input = st.text_area("Describe your legal situation or ask your question (US Law):", height=150)
+
+    if st.button("Get Legal Guidance"):
+        if user_input:
+            with st.spinner("Processing your request..."):
+                ai_response = get_ai_response(user_input)
+                st.session_state.consultant_history.append((user_input, ai_response))
+
+                # Web search for additional resources
+                web_results = search_web_duckduckgo(user_input, num_results=3)  
+                st.session_state.consultant_history.append({
+                    'type': 'web_search',
+                    'results': web_results
+                })
+
+            st.rerun()
+        else:
+            st.warning("Please enter your legal situation or question.")
+
+
+def draft_contract(contract_details: str) -> Dict[str, Any]:
+    """Drafts a contract based on the provided details."""
+    drafting_prompt = f"""
+    Draft a legally sound and comprehensive contract based on the following details, ensuring compliance with US law.
+
+    Contract Details:
+    ```
+    {contract_details}
+    ```
+
+    Output Format:
+    Present the drafted contract in a clear and organized manner, using sections and headings. 
+    Include the following essential clauses (and any others relevant to the provided details):
+
+    * Parties: Clearly identify the names and addresses of all parties entering into the contract.
+    * Term and Termination: Specify the duration of the contract and conditions for renewal or termination.
+    * Payment Terms: Outline payment details, including amounts, schedule, and methods. 
+    * Governing Law: State that the contract shall be governed by the laws of the state specified in the details.
+    * Dispute Resolution: Include a clause outlining how disputes will be handled (e.g., mediation, arbitration).
+    * Entire Agreement: State that the written contract represents the entire agreement between the parties.
+    * Signatures: Leave space for the dated signatures of all parties involved.
+    """
+
+    try:
+        contract_draft = get_ai_response(drafting_prompt)
+        return {"draft": contract_draft}
+    except Exception as e:
+        return {"error": f"Error drafting contract: {str(e)}"}
+
+def contract_drafting_ui():
+    st.subheader("Contract Drafting Assistant")
+    with st.expander("How to use"):
+        st.write('''
+        Provide details about the contract you need drafted, including:
+
+        * **Parties:** Names and addresses of all parties.
+        * **Subject Matter:** Clearly describe the goods, services, or purpose of the contract.
+        * **Key Terms:** Specify payment amounts, deadlines, delivery terms, or other crucial details.
+        * **Governing Law:** State the US state whose laws will govern the contract.
+        * **Additional Provisions:** Include any specific clauses, conditions, or requirements.
+
+        Be as clear and thorough as possible to ensure the drafted contract meets your needs. 
+        ''')
+
+    contract_details = st.text_area("Enter contract details:", height=200)
+
+    if st.button("Draft Contract"):
+        if contract_details:
+            with st.spinner("Drafting your contract..."):
+                draft_results = draft_contract(contract_details)
+
+            if "error" in draft_results:
+                st.error(draft_results["error"])
+            else:
+                st.write("### Drafted Contract")
+                contract_draft = draft_results.get("draft", "No draft available.")
+                st.text_area("Contract Draft", contract_draft, height=300)
+
+                st.download_button(
+                    label="Download Contract",
+                    data=contract_draft,
+                    file_name="drafted_contract.txt",
+                    mime="text/plain"
+                )
+        else:
+            st.warning("Please enter contract details to proceed.")
+
+
+def analyze_case_for_prediction(case_details: str) -> Dict[str, Any]:
+    """Analyzes the case details to provide a predictive analysis."""
+    analysis_prompt = f"""
+    Analyze the following case details in the context of the US legal system and provide a predictive analysis.
+
+    Case Details:
+    ```
+    {case_details}
+    ```
+
+    Your analysis should address the following:
+
+    * **Case Summary:** Briefly summarize the key facts, legal claims, and parties involved in the case.
+    * **Predicted Outcome:** What is the most likely outcome of this case based on the provided information, US legal precedents, and similar cases? Explain your reasoning.
+    * **Strengths of the Case:**  Identify the most compelling arguments and evidence that support a favorable outcome. 
+    * **Weaknesses of the Case:**  What are potential weaknesses in the case, or areas where the opposing party might have strong arguments? 
+    * **Areas of Caution:**  What potential pitfalls or challenges should be considered? What strategies could the opposing party use? 
+    * **Relevant US Case Law:** Cite specific US legal precedents and similar cases that support your analysis and predicted outcome. 
+    * **Recommended Strategies:** Offer specific, actionable recommendations on how to strengthen the case and increase the likelihood of a positive result. 
+
+    Please maintain a neutral and objective tone throughout your analysis. The goal is to provide a realistic assessment of the case, not to advocate for a particular side. 
+    """
+
+    try:
+        analysis = get_ai_response(analysis_prompt)
+        return {"analysis": analysis}
+    except Exception as e:
+        return {"error": f"Error analyzing case: {str(e)}"}
+
+def predictive_analysis_ui():
+    st.subheader("Predictive Case Analysis")
+    with st.expander("How to use"):
+        st.write('''Enter the details of your case, including:
+
+        * Facts: Briefly describe the key events that led to the legal dispute. 
+        * Legal Issues: State the specific legal questions or claims in the case.
+        * Relevant Law: Identify any relevant US laws, statutes, or regulations.
+        * Jurisdiction: Specify the US state where the case is filed.
+
+        You can also upload a document with this information.
+        LexAI will provide a predictive analysis, outlining potential outcomes, strengths and weaknesses of the case, and relevant US case law.
+        ''')
+
+    input_method = st.radio("Choose input method:", ("Text Input", "Document Upload"))
+    case_details = ""
+
+    if input_method == "Text Input":
+        case_details = st.text_area("Enter case details:", height=200)
+    else:
+        uploaded_file = st.file_uploader("Upload a document containing case details (PDF, DOCX, or TXT)", type=["pdf", "docx", "txt"])
+        if uploaded_file is not None:
+            case_details = extract_text_from_document(uploaded_file)
+
+    if st.button("Analyze Case"):
+        if case_details:
+            with st.spinner("Analyzing your case..."):
+                analysis_results = analyze_case_for_prediction(case_details)
+
+            st.write("### Case Analysis")
+            if "error" in analysis_results:
+                st.error(analysis_results["error"])
+            else:
+                st.write(analysis_results.get("analysis", "No analysis available."))
+        else:
+            st.warning("Please enter case details or upload a document to analyze.")
+
 # Streamlit App 
 st.markdown("""
 <style>