Create app.py
Browse files
app.py
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import streamlit as st
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from transformers import pipeline
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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import random
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def generate_functional_requirements(topic):
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generator = pipeline("text-generation", model="meta-llama/Llama-2-7b-chat-hf")
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prompt = f"Generate a comprehensive functional requirement document for {topic} in the banking sector."
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# Generate content
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output = generator(prompt, max_length=4096, do_sample=True, temperature=0.8)
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return output[0]['generated_text']
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def save_to_pdf(content, filename):
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c = canvas.Canvas(filename, pagesize=letter)
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c.setFont("Helvetica", 12)
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text = c.beginText(40, 750)
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text.setFont("Helvetica", 10)
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text.setLeading(14)
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for line in content.split("\n"):
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text.textLine(line)
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if text.getY() < 50: # Start new page when space runs out
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c.drawText(text)
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c.showPage()
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text = c.beginText(40, 750)
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text.setFont("Helvetica", 10)
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text.setLeading(14)
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c.drawText(text)
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c.save()
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def main():
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st.title("AI-Powered Functional Requirement Generator for Banking")
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banking_topics = [
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"Core Banking System",
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"Loan Management System",
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"Payment Processing Gateway",
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"Risk and Fraud Detection",
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"Regulatory Compliance Management",
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"Digital Banking APIs",
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"Customer Onboarding & KYC",
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"Treasury Management",
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"Wealth & Portfolio Management"
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]
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topic = st.selectbox("Select a Banking Functional Requirement Topic", banking_topics)
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if st.button("Generate Functional Requirement Document"):
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with st.spinner("Generating... This may take a while."):
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content = generate_functional_requirements(topic)
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filename = "functional_requirement.pdf"
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save_to_pdf(content, filename)
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st.success("Functional requirement document generated successfully!")
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st.download_button(label="Download PDF", data=open(filename, "rb"), file_name=filename, mime="application/pdf")
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if __name__ == "__main__":
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main()
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