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from groq import Groq
import os
# Retrieve the API key from environment variables
GROQ_API_KEY = os.environ.get('GROQ_API_KEY')
# Initialize the Groq client
groq_client = Groq(
api_key=GROQ_API_KEY,
)
# Use a valid Groq model ID
groq_model_name = 'llama-3.3-70b-versatile'
def generate_linkedin_post(topic, keywords, tone, call_to_action, special_request):
"""Generates a LinkedIn post using the Groq API based on user inputs."""
if not GROQ_API_KEY:
return "Error: GROQ_API_KEY not found. Please set it as a secret in your Hugging Face Space."
if not topic:
return "Please provide a topic for the LinkedIn post."
# Construct the prompt
prompt = f"Generate a professional and engaging LinkedIn post about '{topic}'.\n"
if keywords:
prompt += f"Include keywords like {keywords}.\n"
if tone:
prompt += f"The tone should be {tone}.\n"
if call_to_action:
prompt += f"Conclude with a call to action: '{call_to_action}'\n"
if special_request:
prompt += f"Also consider this special request: '{special_request}'.\n"
prompt += "\nThe post should be concise, impactful, and suitable for a professional audience."
try:
chat_completion = groq_client.chat.completions.create(
messages=[
{
"role": "user",
"content": prompt,
}
],
model=groq_model_name,
temperature=0.7,
max_tokens=500
)
return chat_completion.choices[0].message.content
except Exception as e:
return f"An error occurred: {e}"
# Create the Gradio interface
iface = gr.Interface(
fn=generate_linkedin_post,
inputs=[
gr.Textbox(label="Topic (required)", placeholder="e.g., AI in education"),
gr.Textbox(label="Keywords (optional)", placeholder="e.g., innovation, skills"),
gr.Textbox(label="Tone (optional)", placeholder="e.g., professional"),
gr.Textbox(label="Call to Action (optional)", placeholder="e.g., Share your thoughts!"),
gr.Textbox(label="Special Request (optional)", placeholder="e.g., include #Tech")
],
outputs=gr.Textbox(label="Generated LinkedIn Post", lines=10),
title="🚀 LinkedIn Post Generator with Groq 🚀",
description="Generate professional posts using Groq."
)
if __name__ == "__main__":
iface.launch(server_name="0.0.0.0", server_port=7860) |