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86723f0 c72bf01 86723f0 c72bf01 86723f0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 | import gradio as gr
import yagmail
from datasets import load_dataset, Dataset, concatenate_datasets
import pandas as pd
import os
from dotenv import load_dotenv
load_dotenv() # Load environment variables from.env file
# Email Sending Function
def send_email(hr_email, subject, body, resume_path, sender_email, sender_password):
yag = yagmail.SMTP(user=sender_email, password=sender_password)
yag.send(to=hr_email, subject=subject, contents=body, attachments=resume_path)
# Load Existing Dataset or Create a New One
def load_hf_dataset(repo_id):
try:
dataset = load_dataset(repo_id, split="train")
return dataset
except Exception:
return None
# Save Data to Hugging Face Dataset
def save_to_hf_dataset(repo_id, new_data, existing_dataset=None):
try:
new_dataset = Dataset.from_dict(new_data)
if existing_dataset:
updated_dataset = concatenate_datasets([existing_dataset, new_dataset])
else:
updated_dataset = new_dataset
hf_token = os.getenv('HF_TOKEN')
if not hf_token:
raise ValueError("Hugging Face token is missing or invalid")
updated_dataset.push_to_hub(repo_id)
return True
except Exception as e:
print(f"Error saving to dataset: {e}")
return False
# Main Function for Gradio Interface
def process_form(hr_email, job_profile, company_name, city, access_id):
resume_path = "SujalTamrakar.py.pdf"
email_body = f"""
Dear Hiring Manager,
I'm excited to apply for the {job_profile} role at {company_name}. With a strong IT background (B.Tech, CGPA: 7.97) and experience in AI, Machine Learning, and Web Development, I'm confident in my ability to contribute to your team.
Key Highlights:
- AI Intern at VKAPS IT Solutions: Built & deployed AI projects using LangChain Python OpenAI
- Data Science Trainee at Grow Tech: Utilized exploratory data analysis and SQL
- Projects: Online Code Review Tool, Automatic Ticket Classification Tool (details on attached resume)
Tech Skills:
- Programming: Python, SQL
- AI/ML: LangChain, LLMs, Pinecone, Cohere
- Web Dev: Streamlit
Attached: Resume (including full project details, education, and additional experience)
Contact:
- Email: sujal.tamrakar@outlook.com
- Phone: +91-7067599678
- LinkedIn: linkedin.com/in/sujaltamrakar
- GitHub: github.com/sujal03
Best Regards, Sujal Tamrakar
"""
sender_email = os.getenv('SENDER_EMAIL')
sender_password = os.getenv('SENDER_PASSWORD') if access_id=='2003' else None
if sender_password:
try:
send_email(hr_email, f"Application for {job_profile} at {company_name}", email_body, resume_path, sender_email, sender_password)
print("Email sent successfully!")
new_data = {
"hr_email": [hr_email],
"job_profile": [job_profile],
"company_name": [company_name],
"company_city": [city]
}
existing_dataset = load_hf_dataset("suzall/mails")
if save_to_hf_dataset("suzall/mails", new_data, existing_dataset):
print("Data saved to Hugging Face dataset successfully!")
return "Email Sent and Data Saved Successfully!"
except Exception as e:
return f"Error: {e}"
else:
return "Invalid Access ID for sending email."
# Gradio Interface
demo = gr.Interface(
fn=process_form,
inputs=[
gr.Textbox(label="HR's Email", placeholder="hr@example.com"),
gr.Textbox(label="Job Profile", placeholder="e.g., Python Developer"),
gr.Textbox(label="Company Name", placeholder="e.g., Accenture"),
gr.Textbox(label="City", placeholder="e.g., Pune"),
gr.Textbox(label="Access ID", placeholder="Enter Access ID")
],
outputs=gr.Textbox(label="Output"),
title="Email Sender",
description="Send an email to HR with your application details.",
)
if __name__ == "__main__":
demo.launch() |