import gradio as gr import groq import os from typing import List, Tuple from dotenv import load_dotenv load_dotenv() # Initialize the Groq client client = groq.Groq(api_key=os.getenv("GROQ_API_KEY")) # Initialize an empty list to store chat history chat_history = [] def generate_email(name: str, job_title: str, company_name: str, purpose: str, tone: str, length: str, jargon: str): prompt = f"""Write a cold email with the following details: Recipient: {name}, {job_title} at {company_name} Purpose: {purpose} Tone: {tone} Length: {length} Include industry jargon: {jargon} Please write the email now:""" # Add user input to chat history chat_history.append(("User", prompt)) # Generate email using Groq API chat_completion = client.chat.completions.create( messages=[ { "role": "system", "content": "You are an expert cold email writer. Your task is to write personalized and effective cold emails based on the given information. The email should always have a clear and concise subject line." }, { "role": "user", "content": prompt } ], model="llama-3.1-8b-instant", max_tokens=1000, ) # Extract the generated email generated_email = chat_completion.choices[0].message.content # Add generated email to chat history chat_history.append(("Assistant", generated_email)) return generated_email # Define the Gradio interface with gr.Blocks() as app: gr.Markdown("# Cold Email Generator") with gr.Row(): with gr.Column(): name = gr.Textbox(label="Recipient Name") job_title = gr.Textbox(label="Job Title") company_name = gr.Textbox(label="Company Name") with gr.Column(): purpose = gr.Textbox(label="Purpose of the Email") tone = gr.Radio(["Formal", "Casual", "Friendly"], label="Desired Tone") length = gr.Radio(["Short", "Medium", "Long"], label="Preferred Email Length") jargon = gr.Radio(["Yes", "No"], label="Include Industry-Specific Jargon") generate_button = gr.Button("Generate Email") output = gr.Textbox(label="Generated Email") generate_button.click( generate_email, inputs=[name, job_title, company_name, purpose, tone, length, jargon], outputs=[output] ) app.launch()