import streamlit as st import requests from fpdf import FPDF import pdfplumber import os # Mistral API key (replace with your key or use environment variable) api_key = os.getenv("MISTRAL_API_KEY", "gz6lDXokxgR6cLY72oomALWcm7vhjRzQ") # Function to call Mistral API def call_mistral_api(prompt): url = "https://api.mistral.ai/v1/chat/completions" headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } payload = { "model": "mistral-medium", "messages": [ {"role": "user", "content": prompt} ] } try: response = requests.post(url, headers=headers, json=payload) response.raise_for_status() # Raise an error for bad status codes return response.json()['choices'][0]['message']['content'] except requests.exceptions.HTTPError as err: return f"HTTP Error: {err}" except Exception as err: return f"Error: {err}" # Function to analyze a single requirement def analyze_requirement(requirement): # Detect requirement type type_prompt = f"Classify the following requirement as Functional or Non-Functional:\n\n{requirement}\n\nType:" req_type = call_mistral_api(type_prompt) # Identify stakeholders stakeholders_prompt = f"Identify the stakeholders for the following requirement:\n\n{requirement}\n\nStakeholders:" stakeholders = call_mistral_api(stakeholders_prompt) # Classify domain domain_prompt = f"Classify the domain for the following requirement (e.g., Bank, Healthcare, etc.):\n\n{requirement}\n\nDomain:" domain = call_mistral_api(domain_prompt) # Detect defects defects_prompt = f"""Analyze the following requirement and identify ONLY MAJOR defects (e.g., Ambiguity, Incompleteness, etc.). If the requirement is clear and complete, respond with 'No defects.' Requirement: {requirement} Defects:""" defects = call_mistral_api(defects_prompt) # Rewrite requirement rewrite_prompt = f"Rewrite the following requirement in a simpler form:\n\n{requirement}\n\nSimplified Requirement:" rewritten = call_mistral_api(rewrite_prompt) return { "Requirement": requirement, "Type": req_type, "Stakeholders": stakeholders, "Domain": domain, "Defects": defects, "Rewritten": rewritten } # Function to generate a PDF report def generate_pdf_report(results): pdf = FPDF() pdf.add_page() pdf.set_font("Arial", size=12) for result in results: pdf.cell(200, 10, txt=f"Requirement: {result['Requirement']}", ln=True) pdf.cell(200, 10, txt=f"Type: {result['Type']}", ln=True) pdf.cell(200, 10, txt=f"Stakeholders: {result['Stakeholders']}", ln=True) pdf.cell(200, 10, txt=f"Domain: {result['Domain']}", ln=True) pdf.cell(200, 10, txt=f"Defects: {result['Defects']}", ln=True) pdf.cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", ln=True) pdf.cell(200, 10, txt="-" * 50, ln=True) pdf_output = "requirements_report.pdf" pdf.output(pdf_output) return pdf_output # Streamlit app def main(): st.title("Requirement Analysis Tool") st.markdown("**Team Name:** Team Innovators") st.markdown("**Model:** Mistral") # Input options input_option = st.radio("Choose input method:", ("Enter Requirements", "Upload PDF")) requirements = [] if input_option == "Enter Requirements": input_text = st.text_area("Enter your requirements (one per line):") if input_text: requirements = input_text.split("\n") else: uploaded_file = st.file_uploader("Upload a PDF file:", type="pdf") if uploaded_file: with pdfplumber.open(uploaded_file) as pdf: for page in pdf.pages: requirements.extend(page.extract_text().split("\n")) # Analyze requirements if st.button("Analyze Requirements"): if not requirements: st.warning("Please enter or upload requirements.") else: results = [] for req in requirements: if req.strip(): # Ignore empty lines results.append(analyze_requirement(req.strip())) # Display results st.subheader("Analysis Results") for result in results: st.write(f"**Requirement:** {result['Requirement']}") st.write(f"**Type:** {result['Type']}") st.write(f"**Stakeholders:** {result['Stakeholders']}") st.write(f"**Domain:** {result['Domain']}") st.write(f"**Defects:** {result['Defects']}") st.write(f"**Rewritten:** {result['Rewritten']}") st.write("---") # Generate and download PDF report pdf_report = generate_pdf_report(results) with open(pdf_report, "rb") as f: st.download_button( label="Download PDF Report", data=f, file_name="requirements_report.pdf", mime="application/pdf" ) # Run the app if __name__ == "__main__": main()