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import requests
import streamlit as st
from together import Together
import os
from dotenv import load_dotenv
load_dotenv()
# Initialize Together AI client
client = Together(api_key=st.secrets["TOGETHER_API_KEY"])
def call_llama_for_response(clauses_data):
prompt = "As an AI assistant specializing in contract analysis, draft a professional and courteous response to a contract drafter based on the following clause analyses and decisions:\n\n"
for clause in clauses_data:
prompt += f"Clause: {clause['agent']}\n"
prompt += f"Analysis: {clause['analysis']}\n"
prompt += f"Recommendation: {clause['recommendation']}\n"
prompt += f"Decision: {clause['action']}\n"
if clause['action'] == 'Negotiate':
prompt += f"Negotiation points: {clause['negotiation_points']}\n"
prompt += "\n"
prompt += "Draft a response that addresses each clause, explaining our position on acceptance, rejection, or negotiation. The tone should be professional, courteous, and constructive."
response = client.chat.completions.create(
model="meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
messages=[{"role": "user", "content": prompt}],
max_tokens=2048,
temperature=0.3,
top_p=0.8,
top_k=50,
repetition_penalty=1,
stop=["<|eot_id|>", "<|eom_id|>"],
stream=False
)
return response.choices[0].message.content
st.title("Contract Negotiation Assistant")
# Use session state to store the uploaded file and analysis results
if 'uploaded_file' not in st.session_state:
st.session_state.uploaded_file = None
if 'analysis_results' not in st.session_state:
st.session_state.analysis_results = None
# File uploader
uploaded_file = st.file_uploader("Upload Contract", type=["pdf", "docx"])
# If a new file is uploaded, update the session state and clear previous results
if uploaded_file is not None and uploaded_file != st.session_state.uploaded_file:
st.session_state.uploaded_file = uploaded_file
st.session_state.analysis_results = None
# If we have an uploaded file, process it
if st.session_state.uploaded_file is not None:
# Only call the API if we don't have analysis results yet
if st.session_state.analysis_results is None:
files = {"file": st.session_state.uploaded_file}
response = requests.post("http://localhost:5002/upload", files=files)
if response.status_code == 200:
st.write("Contract uploaded successfully. Analyzing...")
st.session_state.analysis_results = response.json()
else:
st.error("Failed to analyze the contract. Please try again.")
# If we have analysis results, display them and allow user interaction
if st.session_state.analysis_results is not None:
data = st.session_state.analysis_results
segmented_contract = data.get("segmented_contract", {})
crew_analysis = data.get("crew_analysis", {})
# Extract the tasks_output from the nested structure
tasks_output = crew_analysis.get("final_recommendation", {}).get("tasks_output", [])
clauses_data = []
for task in tasks_output:
agent = task.get("agent", "")
if task.get("pydantic"):
clause_analysis = task["pydantic"].get("analysis", "")
recommendation = task["pydantic"].get("recommendation", "")
st.subheader(f"Clause: {agent}")
st.write("Analysis:")
st.write(clause_analysis)
st.write("Recommendation:")
st.write(recommendation)
action = st.selectbox(
f"Action for {agent}",
["Accept", "Negotiate", "Reject"],
key=f"action_{agent}"
)
negotiation_points = ""
if action == "Negotiate":
negotiation_points = st.text_area("Enter your negotiation points:", key=f"negotiate_{agent}")
clauses_data.append({
"agent": agent,
"analysis": clause_analysis,
"recommendation": recommendation,
"action": action,
"negotiation_points": negotiation_points
})
st.markdown("---") # Add a separator between clauses
# Finalize Contract button
if st.button("Finalize Contract"):
with st.spinner("Generating response..."):
response_to_drafter = call_llama_for_response(clauses_data)
st.subheader("Response to Contract Drafter:")
st.text_area("", response_to_drafter, height=400)
st.success("Contract negotiation completed. Response generated for review.")
else:
st.write("Please upload a contract to begin the analysis.") |