# from dotenv import load_dotenv import os import gradio as gr from groq import Groq # # Load environment variables from .env file # load_dotenv() client = Groq( api_key=os.environ.get("GROQ_API_KEY"), ) chat_completion = client.chat.completions.create( messages=[ { "role": "user", "content": "Tell me a funny joke", } ], model="llama3-8b-8192", ) print(chat_completion.choices[0].message.content) def chat_with_groq(sender_name, receiver_name, about_receiver, project_name, project_details, key_benefits, additional_info=None): # Create a more personalized message by including sender, receiver, and additional info full_message = ( f"Compose a personalized email to {receiver_name}, starting with a friendly greeting which include details about the receiver from {about_receiver}. Briefly introduce yourself {sender_name} and express your enthusiasm for sharing details about {project_name}. Describe the {project_details} in a way that highlights its innovative aspects and its potential impact on {receiver_name} or their business. Clearly outline the {key_benefits} of the project, emphasizing how it can address specific challenges or goals that {receiver_name} might have. End the email by inviting {sender_name} to discuss the project further, and provide your contact information jain.sonjil@gmail.com for follow-up." ) chat_completion = client.chat.completions.create( messages=[ { "role": "user", "content": full_message, } ], model="llama3-8b-8192", ) return chat_completion.choices[0].message.content #add UI iface = gr.Interface( fn=chat_with_groq, inputs=[ gr.Textbox(label="Sender Name"), gr.Textbox(label="Receiver Name"), gr.Textbox(label="About Receiver"), gr.Textbox(label="Project Name"), gr.Textbox(label="Project Details"), gr.Textbox(label="Key Benefits") ], outputs=gr.Textbox(label="Chatbot Response"), title="Sonjil's Personalized ChatBot", description="Send a personalized email using Sonjil's Groq-powered chatbot" ) if __name__=="__main__": iface.launch()