telegram_bot.py

import streamlit as st
from docx import Document
import re
import io
import os
from fpdf import FPDF
from groq import Groq
from exa_py import Exa
from dotenv import load_dotenv
from retrying import retry
from funtions import *

# Load environment variables from .env file
load_dotenv()

# Declare the exa search API
exa = Exa(api_key=os.getenv("EXA_API_KEY"))

# Define your API Model and key
client = Groq(api_key=os.getenv("GROQ_API_KEY"))
utilized_model = "llama3-70b-8192"

# Functions for the Exa Search content & Parameters for Highlights search
highlights_options = {
    "num_sentences": 7,  # Length of highlights
    "highlights_per_url": 1,  # Get the best highlight for each URL
}

@retry(wait_exponential_multiplier=1000, wait_exponential_max=10000, stop_max_attempt_number=5)
def call_llm(prompt):
    search_response = exa.search_and_contents(query=prompt, highlights=highlights_options, num_results=3, use_autoprompt=True)
    info = [sr.highlights[0] for sr in search_response.results]
    
    system_prompt = "You are a Business proposal generator. Read the provided contexts and, if relevant, use them to answer the user's question."
    user_prompt = f"Sources: {info}\nQuestion: {prompt}"
    
    completion = client.chat.completions.create(
        model=utilized_model,
        messages=[
            {"role": "system", "content": system_prompt},
            {"role": "user", "content": user_prompt},
        ]
    )
    return completion.choices[0].message.content

def strip_md(text):
    text = text.replace("**", "").replace("*", "").replace("#", "")
    return re.sub(r'([!*_=~-])', r'\\\1', text)

def create_document():
    doc = Document()
    doc.add_heading("Business Proposal", 0)
    return doc

def add_section_to_doc(doc, section_name, section_content):
    section_content = strip_md(section_content)
    section_content = section_content.replace("\\", "")  # Remove backslashes
    doc.add_heading(section_name, level=1)
    doc.add_paragraph(section_content)
    return doc

def get_docx_bytes(doc):
    doc_io = io.BytesIO()
    doc.save(doc_io)
    doc_io.seek(0)
    return doc_io

def collect_basic_info():
    st.title("Business Proposal Generator")

    # Basic Company Information
    company_name = st.text_input("Company Name")
    industry = st.text_input("Industry")
    location = st.text_input("Location")
    mission = st.text_area("Mission Statement")
    vision = st.text_area("Vision Statement")
    products_services = st.text_area("Description of Products/Services")
    target_market = st.text_area("Customer Segments")
    value_proposition = st.text_area("Competitive Advantage")
    promotional_strategy = st.text_area("Promotional Strategy")
    current_revenue = st.number_input("Current Revenue (R)", min_value=0.0, format="%f")
    current_expenses = st.number_input("Current Expenses (R)", min_value=0.0, format="%f")
    funding_requirements = st.text_area("Funding Requirements")
    management_team = st.text_area("Key Personnel")
    company_structure = st.text_area("Company Structure")
    goals_objectives = st.text_area("Short-term and Long-term Goals")
    operational_strategy = st.text_area("Operational Strategy")
    market_overview = st.text_area("Market Overview")

    if st.button('Submit'):
        # Collect data
        data = {
            "company_name": company_name,
            "industry": industry,
            "location": location,
            "mission": mission,
            "vision": vision,
            "products_services": products_services,
            "target_market": target_market,
            "value_proposition": value_proposition,
            "current_revenue": current_revenue,
            "current_expenses": current_expenses,
            "funding_requirements": funding_requirements,
            "management_team": management_team,
            "company_structure": company_structure,
            "goals_objectives": goals_objectives,
            "operational_strategy": operational_strategy,
            "market_overview": market_overview,
            "promotional_strategy": promotional_strategy
        }

        # Create a new document
        doc = create_document()

        # Process and update document with each section
        sections_to_process = [
            ("Executive Summary", generate_executive_summary),
            ("Mission Statement", generate_mission),
            ("Vision Statement", generate_vision),
            ("Objectives", generate_objectives),
            ("Core Values", generate_core_values),
            ("Business Description Analysis", generate_business_description),
            ("Company Location", generate_company_location),
            ("Products", generate_products),
            ("Ownership", generate_ownership),
            ("Company Structure", generate_company_structure),
            ("Management Profiles", generate_management_profiles),
            ("Operational Strategy", generate_operational_strategy),
            ("Marketing Mix Strategy", generate_marketing_mix),
            ("Promotional Strategy", generate_promotional_strategy),
            ("Market Demand Analysis", analyze_demand),
            ("Market Segment Analysis", segment_market),
            ("Competitor Analysis", analyze_competitors),
            ("Porter's Five Forces Analysis", perform_porters_five_forces),
            ("Industry Analysis", analyze_industry_accommodation),
            ("Major Player Analysis", list_major_players),
            ("Business Sub Sector Analysis", analyze_business_sub_sector),
            ("SWOT Analysis", generate_swot_analysis),
            ("Funding Request", generate_funding_request),
            ("Financing & Bank Loan Amortization", create_financing_plan),
            ("Income Statement Analysis", generate_pro_forma_income_statement),
            ("Revenue Expense Analysis", predict_revenue_expenses),
            ("Montly Cash Flow Analysis", generate_monthly_cash_flow),
            ("Pro Forma Annual Cash Flow Analysis", generate_pro_forma_annual_cash_flow),
            ("Pro Forma Balance Sheet Analysis", generate_pro_forma_balance_sheet),
            ("Break-Even Analysis", perform_break_even_analysis),
            ("Payback Period Analysis", calculate_payback_period),
            ("Financial Graphs Analysis", generate_financial_graphs),
            ("Risk Mitigations Analysis", identify_risks_mitigations)
        ]

        for section_name, generate_prompt_func in sections_to_process:
            prompt = generate_prompt_func(data)
            section_content = call_llm(prompt)
            st.subheader(section_name)
            st.write(section_content)
            
            # Update document and create download link
            doc = add_section_to_doc(doc, section_name, section_content)
            doc_bytes = get_docx_bytes(doc)

            st.download_button(
                label=f"Download {section_name} as DOCX",
                data=doc_bytes,
                file_name=f"{section_name.replace(' ', '_').lower()}.docx",
                mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
            )

collect_basic_info()