Update app.py
Browse files
app.py
CHANGED
@@ -6,11 +6,6 @@ import time
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from datetime import datetime
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import groq
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# Load custom CSS
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def local_css(file_name):
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with open(file_name) as f:
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st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
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# API keys (replace with your keys or use environment variables)
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mistral_api_key = os.getenv("MISTRAL_API_KEY", "gz6lDXokxgR6cLY72oomALWcm7vhjRzQ")
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groq_api_key = os.getenv("GROQ_API_KEY", "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")
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@@ -33,13 +28,13 @@ def call_mistral_api(prompt):
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}
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try:
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response = requests.post(url, headers=headers, json=payload)
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response.raise_for_status()
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return response.json()['choices'][0]['message']['content']
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except requests.exceptions.HTTPError as err:
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if response.status_code == 429:
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st.warning("Rate limit exceeded. Please wait a few seconds and try again.")
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time.sleep(5)
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return call_mistral_api(prompt)
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return f"HTTP Error: {err}"
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except Exception as err:
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return f"Error: {err}"
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@@ -48,7 +43,7 @@ def call_mistral_api(prompt):
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def call_groq_api(prompt):
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try:
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response = groq_client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=[
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{"role": "user", "content": prompt}
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]
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@@ -58,16 +53,14 @@ def call_groq_api(prompt):
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st.error(f"Error: {err}")
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return f"Error: {err}"
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# Function to analyze
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def analyze_requirement(requirement):
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# Use Mistral for classification and domain identification
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type_prompt = f"Classify the following requirement as Functional or Non-Functional in one word:\n\n{requirement}\n\nType:"
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req_type = call_mistral_api(type_prompt).strip()
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domain_prompt = f"Classify the domain for the following requirement in one word (e.g., E-commerce, Education, etc.):\n\n{requirement}\n\nDomain:"
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domain = call_mistral_api(domain_prompt).strip()
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# Use Groq for defect analysis and rewriting
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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:"""
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defects = call_groq_api(defects_prompt).strip()
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@@ -82,39 +75,35 @@ def analyze_requirement(requirement):
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"Rewritten": rewritten
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}
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# Function to generate
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def generate_pdf_report(results):
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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# Add watermark
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pdf.set_font("Arial", 'B', 50)
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pdf.set_text_color(230, 230, 230)
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pdf.rotate(45)
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pdf.text(60, 150, "AI Powered Requirement Analysis")
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pdf.rotate(0)
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# Add title and date/time
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pdf.set_font("Arial", 'B', 16)
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pdf.set_text_color(0, 0, 0)
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pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
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pdf.set_font("Arial", size=12)
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pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
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pdf.ln(10)
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# Add requirements analysis
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pdf.set_font("Arial", size=12)
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for i, result in enumerate(results, start=1):
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if pdf.get_y() > 250:
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pdf.add_page()
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pdf.set_font("Arial", 'B', 16)
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pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
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pdf.set_font("Arial", size=12)
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pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
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pdf.ln(10)
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# Add requirement details
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pdf.set_font("Arial", 'B', 14)
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pdf.multi_cell(200, 10, txt=f"Requirement R{i}: {result['Requirement']}", align='L')
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pdf.set_font("Arial", size=12)
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@@ -123,61 +112,116 @@ def generate_pdf_report(results):
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pdf.multi_cell(200, 10, txt=f"Defects: {result['Defects']}", align='L')
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pdf.multi_cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", align='L')
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pdf.multi_cell(200, 10, txt="-" * 50, align='L')
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pdf.ln(5)
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pdf_output = "requirements_report.pdf"
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pdf.output(pdf_output)
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return pdf_output
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# Streamlit
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def main():
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requirements = [req.strip() for req in input_text.replace("\n", ".").split(".") if req.strip()]
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from datetime import datetime
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import groq
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# API keys (replace with your keys or use environment variables)
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mistral_api_key = os.getenv("MISTRAL_API_KEY", "gz6lDXokxgR6cLY72oomALWcm7vhjRzQ")
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groq_api_key = os.getenv("GROQ_API_KEY", "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")
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}
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try:
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response = requests.post(url, headers=headers, json=payload)
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response.raise_for_status()
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return response.json()['choices'][0]['message']['content']
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except requests.exceptions.HTTPError as err:
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if response.status_code == 429:
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st.warning("Rate limit exceeded. Please wait a few seconds and try again.")
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time.sleep(5)
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return call_mistral_api(prompt)
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return f"HTTP Error: {err}"
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except Exception as err:
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return f"Error: {err}"
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def call_groq_api(prompt):
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try:
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response = groq_client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=[
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{"role": "user", "content": prompt}
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]
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st.error(f"Error: {err}")
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return f"Error: {err}"
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# Function to analyze requirement
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def analyze_requirement(requirement):
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type_prompt = f"Classify the following requirement as Functional or Non-Functional in one word:\n\n{requirement}\n\nType:"
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req_type = call_mistral_api(type_prompt).strip()
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domain_prompt = f"Classify the domain for the following requirement in one word (e.g., E-commerce, Education, etc.):\n\n{requirement}\n\nDomain:"
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domain = call_mistral_api(domain_prompt).strip()
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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:"""
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defects = call_groq_api(defects_prompt).strip()
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"Rewritten": rewritten
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}
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# Function to generate PDF report
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def generate_pdf_report(results):
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.set_font("Arial", 'B', 50)
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pdf.set_text_color(230, 230, 230)
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pdf.rotate(45)
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pdf.text(60, 150, "AI Powered Requirement Analysis")
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pdf.rotate(0)
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pdf.set_font("Arial", 'B', 16)
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pdf.set_text_color(0, 0, 0)
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pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
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pdf.set_font("Arial", size=12)
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pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
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pdf.ln(10)
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pdf.set_font("Arial", size=12)
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for i, result in enumerate(results, start=1):
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if pdf.get_y() > 250:
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pdf.add_page()
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pdf.set_font("Arial", 'B', 16)
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pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
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pdf.set_font("Arial", size=12)
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pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
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pdf.ln(10)
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pdf.set_font("Arial", 'B', 14)
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pdf.multi_cell(200, 10, txt=f"Requirement R{i}: {result['Requirement']}", align='L')
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(200, 10, txt=f"Defects: {result['Defects']}", align='L')
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pdf.multi_cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", align='L')
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pdf.multi_cell(200, 10, txt="-" * 50, align='L')
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pdf.ln(5)
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pdf_output = "requirements_report.pdf"
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pdf.output(pdf_output)
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return pdf_output
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# Streamlit UI
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def main():
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600&display=swap');
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* { font-family: 'Poppins', sans-serif; }
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.main-container { max-width: 800px; margin: 0 auto; padding: 2rem; }
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.gradient-header { background: linear-gradient(45deg, #4F46E5, #1E40AF);
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color: white; padding: 2rem; border-radius: 15px; }
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.team-card { background: #f8f9fa; padding: 1.5rem; border-radius: 15px;
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margin: 1rem 0; box-shadow: 0 2px 8px rgba(0,0,0,0.1); }
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.styled-input { border: 2px solid #e0e0e0 !important; border-radius: 10px !important;
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padding: 1rem !important; margin: 1rem 0; }
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.result-card { background: white; padding: 1.5rem; border-radius: 15px;
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margin: 1rem 0; box-shadow: 0 2px 8px rgba(0,0,0,0.1); }
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.badge { padding: 0.3rem 1rem; border-radius: 20px; font-size: 0.9rem;
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margin-right: 0.5rem; display: inline-block; }
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.type-badge { background: #4F46E510; color: #4F46E5; }
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.domain-badge { background: #10B98110; color: #10B981; }
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.defect-badge { background: #EF444410; color: #EF4444; }
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.animate-hover { transition: transform 0.2s; }
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.animate-hover:hover { transform: translateY(-2px); }
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</style>
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""", unsafe_allow_html=True)
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st.markdown("""
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<div class="main-container">
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<div class="gradient-header">
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<h1 style="margin: 0; font-weight: 600;">π§ AI Requirement Analyzer</h1>
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<p style="margin: 0.5rem 0 0; opacity: 0.9;">Smart Analysis & Quality Enhancement System</p>
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</div>
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<div class="team-card">
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<h3 style="margin: 0 0 1rem;">π₯ Team Members</h3>
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<div style="display: flex; gap: 1rem;">
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<div style="flex: 1; text-align: center;">
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<div style="background: #4F46E510; padding: 0.5rem; border-radius: 10px;">
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<p style="margin: 0; color: #4F46E5;">Sadia</p>
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</div>
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</div>
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<!-- Repeat similar blocks for other team members -->
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</div>
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</div>
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""", unsafe_allow_html=True)
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st.markdown("""
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<div style="margin: 2rem 0;">
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<h2>π₯ Input Requirements</h2>
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<p style="opacity: 0.8;">Enter multiple requirements separated by new lines or periods</p>
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""", unsafe_allow_html=True)
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input_text = st.text_area("", height=200, key="input_area",
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help="Example:\n1. The system must handle 1000 users\n2. User interface should be responsive")
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if st.button("π Start Analysis", key="analyze_btn", use_container_width=True):
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if not input_text.strip():
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st.warning("β οΈ Please enter requirements to analyze")
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else:
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requirements = [req.strip() for req in input_text.replace("\n", ".").split(".") if req.strip()]
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results = []
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progress_bar = st.progress(0)
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with st.spinner("π Analyzing requirements..."):
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for i, req in enumerate(requirements):
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results.append(analyze_requirement(req))
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progress_bar.progress((i+1)/len(requirements))
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time.sleep(0.1)
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st.success("β
Analysis completed!")
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st.markdown("---")
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for i, result in enumerate(results, 1):
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st.markdown(f"""
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<div class="result-card animate-hover">
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<h3 style="margin: 0 0 1rem;">π Requirement R{i}</h3>
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<p style="font-size: 1.1rem; margin-bottom: 1.5rem;">{result['Requirement']}</p>
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<div style="display: flex; gap: 1rem; margin-bottom: 1rem;">
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<span class="badge type-badge">π {result['Type']}</span>
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<span class="badge domain-badge">π {result['Domain']}</span>
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<span class="badge defect-badge">β οΈ {result['Defects']}</span>
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</div>
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<div style="background: #f8f9fa; padding: 1rem; border-radius: 10px;">
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<p style="margin: 0; color: #3B82F6;">βοΈ Optimized Version:</p>
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<p style="margin: 0.5rem 0 0; font-weight: 500;">{result['Rewritten']}</p>
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</div>
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</div>
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""", unsafe_allow_html=True)
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st.markdown("---")
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st.markdown("### π Generate Report")
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pdf_report = generate_pdf_report(results)
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with open(pdf_report, "rb") as f:
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st.download_button(
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label="π₯ Download PDF Report",
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data=f,
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file_name="requirements_analysis.pdf",
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mime="application/pdf",
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use_container_width=True,
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key="download_btn"
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)
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st.markdown("</div>", unsafe_allow_html=True)
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if __name__ == "__main__":
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main()
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