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import gradio as gr | |
import os | |
from groq import Groq | |
# Initialize Groq client | |
client = Groq( | |
api_key=os.environ["GROQ_API_KEY"], | |
) | |
def generate_email(name, project, key_benefits): | |
prompt = f""" | |
Write a professional email to {name} about the {project} project. | |
Highlight the following key benefits: | |
{key_benefits} | |
The email should be concise, engaging, and persuasive. | |
""" | |
chat_completion = client.chat.completions.create( | |
messages=[ | |
{ | |
"role": "user", | |
"content": prompt, | |
} | |
], | |
model="mixtral-8x7b-32768", # or another appropriate Groq model | |
temperature=0.7, | |
max_tokens=500, | |
) | |
return chat_completion.choices[0].message.content | |
# Create Gradio interface | |
iface = gr.Interface( | |
fn=generate_email, | |
inputs=[ | |
gr.Textbox(label="Recipient Name"), | |
gr.Textbox(label="Project Name"), | |
gr.Textbox(label="Key Benefits (comma-separated)") | |
], | |
outputs=gr.Textbox(label="Generated Email"), | |
title="AI Email Generator", | |
description="Generate personalized emails using Groq LLM" | |
) | |
# Launch the interface | |
iface.launch() |