api key

app.py

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