File size: 9,999 Bytes
13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b 13b0d84 c87b45b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 |
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 keys or use environment variables)
mistral_api_key = os.getenv("MISTRAL_API_KEY", "gz6lDXokxgR6cLY72oomALWcm7vhjRzQ")
groq_api_key = os.getenv("GROQ_API_KEY", "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")
# Initialize Groq client
groq_client = groq.Client(api_key=groq_api_key)
# Function to call Mistral API
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 requests.exceptions.HTTPError as err:
if response.status_code == 429:
st.warning("Rate limit exceeded. Please wait a few seconds and try again.")
time.sleep(5)
return call_mistral_api(prompt)
return f"HTTP Error: {err}"
except Exception as err:
return f"Error: {err}"
# Function to call Groq API
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:
st.error(f"Error: {err}")
return f"Error: {err}"
# Function to analyze requirement
def analyze_requirement(requirement):
type_prompt = f"Classify the following requirement as Functional or Non-Functional in one word:\n\n{requirement}\n\nType:"
req_type = call_mistral_api(type_prompt).strip()
domain_prompt = f"Classify the domain for the following requirement in one word (e.g., E-commerce, Education, etc.):\n\n{requirement}\n\nDomain:"
domain = call_mistral_api(domain_prompt).strip()
defects_prompt = f"""List ONLY the major defects in the following requirement (e.g., Ambiguity, Incompleteness, etc.) in 1-2 words each:\n\n{requirement}\n\nDefects:"""
defects = call_groq_api(defects_prompt).strip()
rewritten_prompt = f"""Rewrite the following requirement in 1-2 sentences to address the defects:\n\n{requirement}\n\nRewritten:"""
rewritten = call_groq_api(rewritten_prompt).strip()
return {
"Requirement": requirement,
"Type": req_type,
"Domain": domain,
"Defects": defects,
"Rewritten": rewritten
}
# Function to generate PDF report
def generate_pdf_report(results):
pdf = FPDF()
pdf.add_page()
pdf.set_font("Arial", size=12)
pdf.set_font("Arial", 'B', 50)
pdf.set_text_color(230, 230, 230)
pdf.rotate(45)
pdf.text(60, 150, "AI Powered Requirement Analysis")
pdf.rotate(0)
pdf.set_font("Arial", 'B', 16)
pdf.set_text_color(0, 0, 0)
pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
pdf.set_font("Arial", size=12)
pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
pdf.ln(10)
pdf.set_font("Arial", size=12)
for i, result in enumerate(results, start=1):
if pdf.get_y() > 250:
pdf.add_page()
pdf.set_font("Arial", 'B', 16)
pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
pdf.set_font("Arial", size=12)
pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
pdf.ln(10)
pdf.set_font("Arial", 'B', 14)
pdf.multi_cell(200, 10, txt=f"Requirement R{i}: {result['Requirement']}", align='L')
pdf.set_font("Arial", size=12)
pdf.multi_cell(200, 10, txt=f"Type: {result['Type']}", align='L')
pdf.multi_cell(200, 10, txt=f"Domain: {result['Domain']}", align='L')
pdf.multi_cell(200, 10, txt=f"Defects: {result['Defects']}", align='L')
pdf.multi_cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", align='L')
pdf.multi_cell(200, 10, txt="-" * 50, align='L')
pdf.ln(5)
pdf_output = "requirements_report.pdf"
pdf.output(pdf_output)
return pdf_output
# Streamlit UI
def main():
st.markdown("""
<style>
@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600&display=swap');
* { font-family: 'Poppins', sans-serif; }
.main-container { max-width: 800px; margin: 0 auto; padding: 2rem; }
.gradient-header { background: linear-gradient(45deg, #4F46E5, #1E40AF);
color: white; padding: 2rem; border-radius: 15px; }
.team-card { background: #f8f9fa; padding: 1.5rem; border-radius: 15px;
margin: 1rem 0; box-shadow: 0 2px 8px rgba(0,0,0,0.1); }
.styled-input { border: 2px solid #e0e0e0 !important; border-radius: 10px !important;
padding: 1rem !important; margin: 1rem 0; }
.result-card { background: white; padding: 1.5rem; border-radius: 15px;
margin: 1rem 0; box-shadow: 0 2px 8px rgba(0,0,0,0.1); }
.badge { padding: 0.3rem 1rem; border-radius: 20px; font-size: 0.9rem;
margin-right: 0.5rem; display: inline-block; }
.type-badge { background: #4F46E510; color: #4F46E5; }
.domain-badge { background: #10B98110; color: #10B981; }
.defect-badge { background: #EF444410; color: #EF4444; }
.animate-hover { transition: transform 0.2s; }
.animate-hover:hover { transform: translateY(-2px); }
</style>
""", unsafe_allow_html=True)
st.markdown("""
<div class="main-container">
<div class="gradient-header">
<h1 style="margin: 0; font-weight: 600;">π§ AI Requirement Analyzer</h1>
<p style="margin: 0.5rem 0 0; opacity: 0.9;">Smart Analysis & Quality Enhancement System</p>
</div>
<div class="team-card">
<h3 style="margin: 0 0 1rem;">π₯ Team Members</h3>
<div style="display: flex; gap: 1rem;">
<div style="flex: 1; text-align: center;">
<div style="background: #4F46E510; padding: 0.5rem; border-radius: 10px;">
<p style="margin: 0; color: #4F46E5;">Sadia</p>
</div>
</div>
<!-- Repeat similar blocks for other team members -->
</div>
</div>
""", unsafe_allow_html=True)
st.markdown("""
<div style="margin: 2rem 0;">
<h2>π₯ Input Requirements</h2>
<p style="opacity: 0.8;">Enter multiple requirements separated by new lines or periods</p>
""", 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("π Start Analysis", key="analyze_btn", use_container_width=True):
if not input_text.strip():
st.warning("β οΈ 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("π 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("β
Analysis completed!")
st.markdown("---")
for i, result in enumerate(results, 1):
st.markdown(f"""
<div class="result-card animate-hover">
<h3 style="margin: 0 0 1rem;">π Requirement R{i}</h3>
<p style="font-size: 1.1rem; margin-bottom: 1.5rem;">{result['Requirement']}</p>
<div style="display: flex; gap: 1rem; margin-bottom: 1rem;">
<span class="badge type-badge">π {result['Type']}</span>
<span class="badge domain-badge">π {result['Domain']}</span>
<span class="badge defect-badge">β οΈ {result['Defects']}</span>
</div>
<div style="background: #f8f9fa; padding: 1rem; border-radius: 10px;">
<p style="margin: 0; color: #3B82F6;">βοΈ Optimized Version:</p>
<p style="margin: 0.5rem 0 0; font-weight: 500;">{result['Rewritten']}</p>
</div>
</div>
""", unsafe_allow_html=True)
st.markdown("---")
st.markdown("### π Generate Report")
pdf_report = generate_pdf_report(results)
with open(pdf_report, "rb") as f:
st.download_button(
label="π₯ Download PDF Report",
data=f,
file_name="requirements_analysis.pdf",
mime="application/pdf",
use_container_width=True,
key="download_btn"
)
st.markdown("</div>", unsafe_allow_html=True)
if __name__ == "__main__":
main() |