Create app.py

app.py

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+import openai
+from dotenv import load_dotenv
+import os
+import gradio as gr
+import time
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+from selenium.webdriver.common.keys import Keys
+from selenium.webdriver.chrome.service import Service
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.action_chains import ActionChains
+
+# Load environment variables
+load_dotenv()
+
+# Set up OpenAI API key
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Function to generate cover letters
+def generate_cover_letter(job_desc, resume):
+    prompt = f"""
+    Write a personalized cover letter for the following job description:\n{job_desc}\n
+    Based on this resume:\n{resume}
+    """
+    response = openai.Completion.create(
+        engine="text-davinci-003",  # You can use GPT-3 or any available OpenAI model
+        prompt=prompt,
+        max_tokens=300,
+        temperature=0.7,
+    )
+    return response.choices[0].text.strip()
+
+# Function to automate LinkedIn application (login, navigate, apply)
+def apply_on_linkedin(job_url, resume, cover_letter):
+    # Set up selenium WebDriver options
+    chrome_options = Options()
+    chrome_options.add_argument("--headless")  # Run headless to avoid opening a browser window
+
+    # Set up WebDriver and go to LinkedIn login page
+    driver = webdriver.Chrome(service=Service("path_to_chromedriver"), options=chrome_options)
+    driver.get("https://www.linkedin.com/login")
+
+    # Log into LinkedIn
+    driver.find_element(By.ID, "username").send_keys(os.getenv("LINKEDIN_EMAIL"))
+    driver.find_element(By.ID, "password").send_keys(os.getenv("LINKEDIN_PASSWORD"))
+    driver.find_element(By.XPATH, '//button[@type="submit"]').click()
+    time.sleep(3)  # Wait for login to complete
+
+    # Navigate to job application page
+    driver.get(job_url)
+    time.sleep(3)
+
+    # Apply if Easy Apply is available
+    try:
+        apply_button = driver.find_element(By.CLASS_NAME, "jobs-apply-button")
+        apply_button.click()
+        time.sleep(2)
+
+        # Fill in the application form (this can be customized)
+        resume_input = driver.find_element(By.NAME, "resume")
+        resume_input.send_keys(resume)  # Path to your resume (can also upload file here)
+
+        cover_letter_input = driver.find_element(By.NAME, "cover-letter")
+        cover_letter_input.send_keys(cover_letter)  # Paste generated cover letter
+
+        submit_button = driver.find_element(By.XPATH, "//button[@aria-label='Submit application']")
+        submit_button.click()
+
+        return "Application submitted successfully!"
+    except Exception as e:
+        return f"Error applying: {str(e)}"
+    finally:
+        driver.quit()
+
+# Function for the Gradio interface
+def job_app_bot(job_desc, resume):
+    cover_letter = generate_cover_letter(job_desc, resume)
+    job_url = "https://www.linkedin.com/jobs/view/some-job-id"  # Example job URL
+    application_status = apply_on_linkedin(job_url, resume, cover_letter)
+    return cover_letter, application_status
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=job_app_bot,
+    inputs=["text", "text"],  # Inputs: job description, resume
+    outputs=["text", "text"],  # Outputs: generated cover letter, application status
+    live=True
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()