Building an AI-Powered Cover Letter & Cold Email

def extract_job_description(url):
    """Extract job description from URL using Firecrawl."""
    try:
        print(os.getenv('FIRECRAWL_API_KEY'))
        app = FirecrawlApp(
            api_key=os.getenv('FIRECRAWL_API_KEY')
        )
        result = app.scrape_url(
            url
        )
        # Firecrawl returns a dict with 'text' and possibly 'html' keys
        print(result)
        text = result.get('markdown', '')
        if not text:
            raise Exception('No text content found from Firecrawl.')
        return text
    except Exception as e:
        raise Exception(f"Error extracting job description with Firecrawl: {str(e)}")

async def analyze_resume(file: UploadFile):
    file_content = await file.read()
    if file.filename.endswith('.pdf'):
        text = extract_text_from_pdf(file_content)
    else:  # DOCX
        text = extract_text_from_docx(file_content)
    
    analysis = await openai.analyze({
        "model": "gpt-4",
        "messages": [{
            "role": "system",
            "content": "Extract key information from this resume: skills, experience, education, and achievements."
        },
        {
            "role": "user",
            "content": text
        }]
    })
    return analysis

def generate_cover_letter(resume_text, job_description):
    """Generate a cover letter using OpenAI API."""
    try:
        prompt = f"""Based on the following resume and job description, generate a professional cover letter.
        Focus on matching the candidate's experience with the job requirements.
        
        Resume:
        {resume_text}
        
        Job Description:
        {job_description}
        
        Generate a compelling cover letter that highlights relevant experience and skills."""
        
        response = openai.chat.completions.create(
            model="gpt-4-turbo-preview",
            messages=[
                {"role": "system", "content": "You are a professional career coach helping to write compelling cover letters."},
                {"role": "user", "content": prompt}
            ],
            temperature=0.7,
            max_tokens=1000
        )
        
        return response.choices[0].message.content
    except Exception as e:
        raise Exception(f"Error generating cover letter: {str(e)}")

def generate_cold_email(resume_text, job_description):
    """Generate a cold email using OpenAI API."""
    try:
        prompt = f"""Based on the following resume and job description, generate a professional cold email.
        Make it concise, engaging, and focused on creating a connection.
        
        Resume:
        {resume_text}
        
        Job Description:
        {job_description}
        
        Generate a compelling cold email that demonstrates value and interest."""
        
        response = openai.chat.completions.create(
            model="gpt-4-turbo-preview",
            messages=[
                {"role": "system", "content": "You are a professional career coach helping to write effective cold emails."},
                {"role": "user", "content": prompt}
            ],
            temperature=0.7,
            max_tokens=800
        )
        
        return response.choices[0].message.content
    except Exception as e:
        raise Exception(f"Error generating cold email: {str(e)}")