Company Analysis Tool

This tool allows users to generate company brochures by inputting a company name and its landing page URL. It leverages AI models like GPT and Claude to analyze the company and produce a professional, data-driven brochure. The tool is implemented using Python and provides a web interface for user interaction via Gradio.

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Features

• AI-Powered Analysis: Generate brochures using GPT or Claude.
• Web Scraping: Extracts relevant content from a company's landing page.
• Interactive Web Interface: A simple and intuitive Gradio-powered interface.
• Customizable Output: Select between models for tailored analysis.

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Code Structure and Explanation

1. app.py - The Main Entry Point

• Purpose: This is the main file to run the application. It sets up and launches the Gradio interface.
• Functionality:
  • Initializes the Gradio interface with input fields (company name, URL, model selection).
  • Calls the stream_brochure function to generate and display the brochure output.
• Outcome: Starts a local server and opens a web interface in your browser.

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2. src/analyzer.py - The AI Logic

• Purpose: Handles the interaction with AI models (GPT and Claude) and generates the text for the brochure.
• Key Functions:
  1. stream_gpt(prompt):
     • Sends a request to the GPT model with the given prompt.
     • Streams back the generated text.
  2. stream_claude(prompt):
     • Sends a request to the Claude model with the given prompt.
     • Streams back the generated text.
  3. stream_brochure(company_name, url, model):
     • Combines inputs (company name, URL, selected model) to create a prompt.
     • Extracts webpage content using Website class from website.py.
     • Sends the prompt to the selected model (GPT or Claude).
     • Outputs the brochure text in markdown format.
• Outcome: Generates detailed and structured content for a company brochure.

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3. src/website.py - Web Scraping

• Purpose: Scrapes the company's landing page to extract relevant content for the brochure.
• Key Functions:
  1. __init__(self, url):
     • Initializes the Website class with a URL and fetches the webpage.
  2. scrape_website():
     • Removes irrelevant content (scripts, styles, images) from the page using BeautifulSoup.
  3. get_contents():
     • Extracts and returns the page title and cleaned text content.
• Outcome: Provides structured text from the landing page for use in AI analysis.

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4. src/__init__.py - Package Initialization

• Purpose: Makes the src directory a Python package.
• Outcome: Facilitates easy imports of modules within the project.

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5. .env - Environment Variables

• Purpose: Stores sensitive API keys for OpenAI, Anthropic, and Google securely.
• Usage:
  • Copy .env.example to .env and add your API keys.
  • Example format:

    OPENAI_API_KEY=your_openai_api_key_here
    ANTHROPIC_API_KEY=your_anthropic_api_key_here
    GOOGLE_API_KEY=your_google_api_key_here
    

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Requirements

• Python Version: 3.7+
• Dependencies:
  • gradio
  • openai
  • anthropic
  • google-generativeai
  • beautifulsoup4
  • requests
  • python-dotenv

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