api key
Browse files
app.py
CHANGED
@@ -12,167 +12,167 @@ load_dotenv()
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# Azure OpenAI credentials
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key = os.getenv("AZURE_OPENAI_API_KEY")
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print(key)
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endpoint_url = "https://interview-key.openai.azure.com/"
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api_version = "2024-05-01-preview"
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deployment_id = "interview"
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# Initialize Azure OpenAI client
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client = AzureOpenAI(
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)
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# Streamlit app layout
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st.set_page_config(layout="wide")
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# Add custom CSS for center alignment
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st.markdown("""
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def extract_text_from_docx(docx_path):
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def extract_terms_from_contract(contract_text):
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def analyze_task_compliance(task_description, cost_estimate, contract_terms):
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def main():
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if __name__ == "__main__":
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# Azure OpenAI credentials
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key = os.getenv("AZURE_OPENAI_API_KEY")
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print(key)
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# endpoint_url = "https://interview-key.openai.azure.com/"
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# api_version = "2024-05-01-preview"
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# deployment_id = "interview"
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# # Initialize Azure OpenAI client
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# client = AzureOpenAI(
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# api_version=api_version,
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# azure_endpoint=endpoint_url,
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# api_key=key
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# )
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# # Streamlit app layout
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# st.set_page_config(layout="wide")
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# # Add custom CSS for center alignment
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# st.markdown("""
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# <style>
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# .centered-title {
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# text-align: center;
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# font-size: 2.5em;
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# margin-top: 0;
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# }
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# </style>
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# """, unsafe_allow_html=True)
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# def extract_text_from_docx(docx_path):
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# doc = Document(docx_path)
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# return "\n".join([para.text for para in doc.paragraphs])
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# def extract_terms_from_contract(contract_text):
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# prompt = (
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# "You are an AI tasked with analyzing a contract and extracting key terms and constraints. The contract contains "
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# "various sections and subsections with terms related to budget constraints, types of allowable work, timelines, "
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# "penalties, responsibilities, and other conditions for work execution. Your job is to extract these key terms and "
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# "structure them in a clear JSON format, reflecting the hierarchy of sections and subsections. "
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# "Ensure to capture all important constraints and conditions specified in the contract text. If a section or subsection "
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# "contains multiple terms, list them all.\n\n"
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# "Contract text:\n"
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# f"{contract_text}\n\n"
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# "Provide the extracted terms in JSON format."
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# )
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# try:
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# response = client.chat.completions.create(
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# model=deployment_id,
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# messages=[
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# {"role": "system", "content": "You are an AI specialized in extracting structured data from text documents."},
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# {"role": "user", "content": prompt},
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# ],
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# max_tokens=1250,
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# n=1,
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# stop=None,
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# temperature=0.1,
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# )
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# return response.choices[0].message.content
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# except Exception as e:
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# st.error(f"Error extracting terms from contract: {e}")
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# return None
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# def analyze_task_compliance(task_description, cost_estimate, contract_terms):
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# print("Task D: ", task_description, cost_estimate)
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# prompt = (
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# "You are an AI tasked with analyzing a task description and its associated cost estimate for compliance with contract conditions. "
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# "Below are the key terms and constraints extracted from the contract, followed by a task description and its cost estimate. "
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# "Your job is to analyze each task description and specify if it violates any conditions from the contract. "
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# "If there are violations, list the reasons for each violation. Provide detailed answers and do not give only true or false answers.\n\n"
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# f"Contract terms:\n{json.dumps(contract_terms, indent=4)}\n\n"
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# f"Task description:\n{task_description}\n"
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# f"Cost estimate:\n{cost_estimate}\n\n"
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# "Provide the compliance analysis in a clear JSON format."
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# )
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# try:
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# response = client.chat.completions.create(
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# model=deployment_id,
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# messages=[
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# {"role": "system", "content": "You are an AI specialized in analyzing text for compliance with specified conditions."},
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# {"role": "user", "content": prompt},
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# ],
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# max_tokens=1250,
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# n=1,
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# stop=None,
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# temperature=0.1,
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# )
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# return json.loads(response.choices[0].message.content)
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# except Exception as e:
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# st.error(f"Error analyzing task compliance: {e}")
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# return None
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# def main():
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# st.markdown("<h1 class='centered-title'>Contract Compliance Analyzer</h1>", unsafe_allow_html=True)
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# # Initialize session state
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# if 'contract_terms' not in st.session_state:
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# st.session_state.contract_terms = None
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# if 'compliance_results' not in st.session_state:
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# st.session_state.compliance_results = None
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# # File upload buttons one after another
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# docx_file = st.sidebar.file_uploader("Upload Contract Document (DOCX)", type="docx", key="docx_file")
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# data_file = st.sidebar.file_uploader("Upload Task Descriptions (XLSX or CSV)", type=["xlsx", "csv"], key="data_file")
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# submit_button = st.sidebar.button("Submit")
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# if submit_button and docx_file and data_file:
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# # Extract contract text and terms
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# contract_text = extract_text_from_docx(docx_file)
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# extracted_terms_json = extract_terms_from_contract(contract_text)
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# if extracted_terms_json is None:
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# return
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# try:
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# st.session_state.contract_terms = json.loads(extracted_terms_json)
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# except json.JSONDecodeError as e:
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# st.error(f"JSON decoding error: {e}")
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# return
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# # Read task descriptions and cost estimates from XLSX or CSV
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# if data_file.type == "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet":
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# tasks_df = pd.read_excel(data_file)
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# else:
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# tasks_df = pd.read_csv(data_file)
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# compliance_results = []
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# # Process tasks sequentially
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# for _, row in tasks_df.iterrows():
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# result = analyze_task_compliance(row['Task Description'], row['Amount'], st.session_state.contract_terms)
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# if result is not None:
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# print(result)
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# compliance_results.append(result)
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# st.session_state.compliance_results = compliance_results
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# col1, col2 = st.columns(2)
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# with col1:
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# if st.session_state.contract_terms:
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# st.write("Extracted Contract Terms:")
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# st.json(st.session_state.contract_terms)
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# # Download button for contract terms
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# st.download_button(
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# label="Download Contract Terms",
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# data=json.dumps(st.session_state.contract_terms, indent=4),
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# file_name="contract_terms.json",
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# mime="application/json"
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# )
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# with col2:
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# if st.session_state.compliance_results:
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# st.write("Compliance Results:")
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# st.json(st.session_state.compliance_results)
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# # Download button for compliance results
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# st.download_button(
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# label="Download Compliance Results",
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# data=json.dumps(st.session_state.compliance_results, indent=4),
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# file_name="compliance_results.json",
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# mime="application/json"
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# )
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# if __name__ == "__main__":
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# main()
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