import streamlit as st import requests from fpdf import FPDF import os import time from datetime import datetime import groq # API keys (replace with your actual keys) mistral_api_key = os.getenv("MISTRAL_API_KEY", "your_mistral_key_here") groq_api_key = os.getenv("GROQ_API_KEY", "your_groq_key_here") # Initialize Groq client groq_client = groq.Client(api_key=groq_api_key) def call_mistral_api(prompt): url = "https://api.mistral.ai/v1/chat/completions" headers = { "Authorization": f"Bearer {mistral_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() return response.json()['choices'][0]['message']['content'] except Exception as err: return f"Error: {err}" def call_groq_api(prompt): try: response = groq_client.chat.completions.create( model="llama-3.3-70b-versatile", messages=[{"role": "user", "content": prompt}] ) return response.choices[0].message.content except Exception as err: return f"Error: {err}" def analyze_requirement(requirement): type_prompt = f"Classify as Functional or Non-Functional in one word:\n{requirement}\nType:" req_type = call_mistral_api(type_prompt).strip() domain_prompt = f"Classify domain in one word:\n{requirement}\nDomain:" domain = call_mistral_api(domain_prompt).strip() defects_prompt = f"List major defects (1-2 words each):\n{requirement}\nDefects:" defects = call_groq_api(defects_prompt).strip() rewritten_prompt = f"Rewrite to address defects:\n{requirement}\nRewritten:" rewritten = call_groq_api(rewritten_prompt).strip() return { "Requirement": requirement, "Type": req_type, "Domain": domain, "Defects": defects, "Rewritten": rewritten } def generate_pdf_report(results): pdf = FPDF() pdf.add_page() pdf.set_font("Arial", size=12) # PDF content (same as previous) # ... [Keep the existing PDF generation code] ... pdf_output = "requirements_report.pdf" pdf.output(pdf_output) return pdf_output def main(): st.markdown(""" """, unsafe_allow_html=True) st.markdown("""

🧠 AI Requirement Analyzer

Smart Analysis & Quality Enhancement System

👥 Team Members

Sadia

Areeba

Rabbia

Tesmia

📥 Input Requirements

Enter multiple requirements separated by new lines or periods

""", unsafe_allow_html=True) input_text = st.text_area("", height=200, key="input_area", help="Example:\n1. The system must handle 1000 users\n2. User interface should be responsive") if st.button("🚀 Start Analysis", key="analyze_btn", use_container_width=True): if not input_text.strip(): st.warning("⚠️ Please enter requirements to analyze") else: requirements = [req.strip() for req in input_text.replace("\n", ".").split(".") if req.strip()] results = [] progress_bar = st.progress(0) with st.spinner("🔍 Analyzing requirements..."): for i, req in enumerate(requirements): results.append(analyze_requirement(req)) progress_bar.progress((i+1)/len(requirements)) time.sleep(0.1) st.success("✅ Analysis completed!") st.markdown("---") for i, result in enumerate(results, 1): st.markdown(f"""

🔖 Requirement R{i}

{result['Requirement']}

📝 {result['Type']} 🌍 {result['Domain']} ⚠️ {result['Defects']}

✏️ Optimized Version:

{result['Rewritten']}

""", unsafe_allow_html=True) st.markdown("---") st.markdown("### 📄 Generate 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_analysis.pdf", mime="application/pdf", use_container_width=True, key="download_btn" ) st.markdown("
", unsafe_allow_html=True) if __name__ == "__main__": main()