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Update app.py
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app.py
CHANGED
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@@ -8,21 +8,23 @@ from pydantic import BaseModel
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from langsmith import traceable
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import traceback
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# Load API keys
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load_dotenv()
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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LANGSMITH_API_KEY = os.getenv("LANGSMITH_API_KEY")
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_API_KEY"] = LANGSMITH_API_KEY
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# Initialize LLM
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llm = ChatGroq(groq_api_key=GROQ_API_KEY, model_name="llama3-8b-8192")
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# Define
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class LegalState(BaseModel):
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original_text: str
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tone: str
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complexity: int = 1
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rewritten_text: str = None
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summary: str = None
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key_clauses: str = None
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@@ -34,7 +36,7 @@ class LegalState(BaseModel):
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comparison_result: str = None
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final_report: str = None
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# Function to
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def generate_response(prompt):
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try:
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response = llm.invoke([HumanMessage(content=prompt)])
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@@ -42,113 +44,87 @@ def generate_response(prompt):
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except Exception as e:
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return f"β Error: {str(e)}"
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# Define
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@traceable(name="Rewrite Legal Text")
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def rewrite_text(state: LegalState):
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prompt = f"""Rewrite this legal text in '{state.tone}' tone
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{state.original_text}"""
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return {"rewritten_text": generate_response(prompt)}
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@traceable(name="Summarize Legal Text")
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def summarize_text(state: LegalState):
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return {"summary": generate_response(f"
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@traceable(name="Extract Key Clauses")
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def extract_clauses(state: LegalState):
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return {"key_clauses": generate_response(f"
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@traceable(name="Detect Risks in Document")
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def detect_risks(state: LegalState):
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return {"risk_analysis": generate_response(f"
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@traceable(name="Check Compliance")
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def check_compliance(state: LegalState):
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return {"compliance_report": generate_response(f"
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@traceable(name="Suggest Contract Improvements")
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def suggest_improvements(state: LegalState):
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return {"contract_suggestions": generate_response(f"
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@traceable(name="Generate Legal Arguments")
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def generate_arguments(state: LegalState):
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return {"legal_arguments": generate_response(f"
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@traceable(name="Format Legal Document")
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def format_document(state: LegalState):
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return {"formatted_text": generate_response(f"
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@traceable(name="Compare Original vs Rewritten")
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def compare_texts(state: LegalState):
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@traceable(name="Final Synthesis")
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def synthesizer(state: LegalState):
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final_output = f"""
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π **Legal Document Processing Report** π
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{state.
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{state.
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{state.
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{state.risk_analysis}
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**Compliance Report:**
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{state.compliance_report}
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**Contract Suggestions:**
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{state.contract_suggestions}
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**Legal Arguments:**
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{state.legal_arguments}
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**Formatted Document:**
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{state.formatted_text}
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**Comparison:**
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{state.comparison_result}
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"""
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return {"final_report": final_output}
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# Build LangGraph Workflow
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builder = StateGraph(LegalState)
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builder.add_node("rewrite_text", rewrite_text)
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builder.add_node("summarize_text", summarize_text)
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builder.add_node("extract_clauses", extract_clauses)
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builder.add_node("detect_risks", detect_risks)
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builder.add_node("check_compliance", check_compliance)
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builder.add_node("suggest_improvements", suggest_improvements)
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builder.add_node("generate_arguments", generate_arguments)
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builder.add_node("format_document", format_document)
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builder.add_node("compare_texts", compare_texts)
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builder.add_node("synthesizer", synthesizer)
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builder.add_edge(START, "rewrite_text")
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for node in [
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builder.add_edge("rewrite_text", node)
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builder.add_edge(node, "synthesizer")
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builder.add_edge("synthesizer", END)
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graph = builder.compile()
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# Streamlit UI
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st.title("π AI-Powered Legal Text Processor")
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if st.button("Rewrite Text"):
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if "regenerate" in st.session_state and st.session_state["regenerate"]:
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if st.button("Regenerate Text"):
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output = graph.invoke({"original_text": text_input, "tone": tone_selection, "complexity": 1})
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st.session_state["output"] = output
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if "output" in st.session_state:
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for key, value in st.session_state["output"].items():
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st.markdown(f"**{key.replace('_', ' ').title()}**:")
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st.write(value)
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from langsmith import traceable
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import traceback
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# β
Load API keys securely
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load_dotenv()
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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LANGSMITH_API_KEY = os.getenv("LANGSMITH_API_KEY")
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# β
Set API keys as environment variables
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os.environ["GROQ_API_KEY"] = GROQ_API_KEY
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_API_KEY"] = LANGSMITH_API_KEY
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# β
Initialize Open-Source LLM
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llm = ChatGroq(groq_api_key=GROQ_API_KEY, model_name="llama3-8b-8192")
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# β
Define the LegalState Model
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class LegalState(BaseModel):
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original_text: str
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tone: str
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rewritten_text: str = None
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summary: str = None
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key_clauses: str = None
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comparison_result: str = None
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final_report: str = None
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# β
Function to invoke LLM with error handling
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def generate_response(prompt):
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try:
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response = llm.invoke([HumanMessage(content=prompt)])
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except Exception as e:
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return f"β Error: {str(e)}"
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# β
Define Worker Functions with LangSmith Debugging
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@traceable(name="Rewrite Legal Text")
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def rewrite_text(state: LegalState):
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prompt = f"""**Rewrite this legal text in '{state.tone}' tone:**
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{state.original_text}"""
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return {"rewritten_text": generate_response(prompt)}
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@traceable(name="Summarize Legal Text")
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def summarize_text(state: LegalState):
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return {"summary": generate_response(f"**Summary:**\n\n{state.rewritten_text}")}
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@traceable(name="Extract Key Clauses")
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def extract_clauses(state: LegalState):
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return {"key_clauses": generate_response(f"**Key Clauses:**\n\n{state.rewritten_text}")}
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@traceable(name="Detect Risks in Document")
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def detect_risks(state: LegalState):
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return {"risk_analysis": generate_response(f"**Risk Analysis:**\n\n{state.rewritten_text}")}
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@traceable(name="Check Compliance")
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def check_compliance(state: LegalState):
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return {"compliance_report": generate_response(f"**Compliance Report:**\n\n{state.rewritten_text}")}
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@traceable(name="Suggest Contract Improvements")
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def suggest_improvements(state: LegalState):
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return {"contract_suggestions": generate_response(f"**Contract Improvement Suggestions:**\n\n{state.rewritten_text}")}
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@traceable(name="Generate Legal Arguments")
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def generate_arguments(state: LegalState):
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return {"legal_arguments": generate_response(f"**Legal Arguments:**\n\n{state.rewritten_text}")}
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@traceable(name="Format Legal Document")
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def format_document(state: LegalState):
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return {"formatted_text": generate_response(f"**Formatted Legal Document:**\n\n{state.rewritten_text}")}
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@traceable(name="Compare Original vs Rewritten")
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def compare_texts(state: LegalState):
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prompt = f"**Comparison:**\n\nOriginal: {state.original_text}\nRewritten: {state.rewritten_text}"
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return {"comparison_result": generate_response(prompt)}
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@traceable(name="Final Synthesis")
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def synthesizer(state: LegalState):
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final_output = f"""
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π **AI-Powered Legal Document Processing Report** π
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**πΉ Rewritten Legal Text:**\n{state.rewritten_text}
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**πΉ Summary:**\n{state.summary}
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**πΉ Key Clauses Identified:**\n{state.key_clauses}
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**πΉ Risk Analysis Report:**\n{state.risk_analysis}
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**πΉ Compliance Check Results:**\n{state.compliance_report}
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**πΉ Contract Improvement Suggestions:**\n{state.contract_suggestions}
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**πΉ AI-Generated Legal Arguments:**\n{state.legal_arguments}
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**πΉ Text Formatting Enhancements:**\n{state.formatted_text}
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**πΉ Differences from Original Text:**\n{state.comparison_result}
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**β
AI Final Verdict:**\nThis document has been reviewed and processed with key legal enhancements.
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"""
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return {"final_report": final_output}
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# β
Build LangGraph Workflow
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builder = StateGraph(LegalState)
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# β
Add Nodes
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nodes = ["rewrite_text", "summarize_text", "extract_clauses", "detect_risks", "check_compliance", "suggest_improvements", "generate_arguments", "format_document", "compare_texts", "synthesizer"]
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for node in nodes:
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builder.add_node(node, globals()[node])
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# β
Define Execution Order
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builder.add_edge(START, "rewrite_text")
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for node in nodes[:-1]:
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builder.add_edge("rewrite_text", node)
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builder.add_edge(node, "synthesizer")
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builder.add_edge("synthesizer", END)
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graph = builder.compile()
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# β
Streamlit UI
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st.title("π AI-Powered Legal Text Processor")
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original_text = st.text_area("Enter Legal Text")
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tone = st.selectbox("Select Tone", ["Formal", "Empathetic", "Neutral", "Strength-Based"])
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if st.button("Rewrite Text"):
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result = graph.invoke({"original_text": original_text, "tone": tone})
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for key, value in result.items():
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st.markdown(f"**{key.replace('_', ' ').title()}:**\n{value}")
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