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import os
import requests
GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
GROQ_API_KEY = os.getenv("GROQ_API_KEY") # Secure key from Hugging Face Secrets
if not GROQ_API_KEY:
raise ValueError("GROQ_API_KEY is missing! Set it in Hugging Face Secrets.")
OPENAI_API_URL = "https://api.openai.com/v1/images/generations"
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") # Set this in Hugging Face Secrets
if not OPENAI_API_KEY:
raise ValueError("OPENAI_API_KEY is missing! Set it in Hugging Face Secrets.")
# Helper function to load system prompt from txt files
def load_prompt(filename):
with open(f'config/system_prompts/{filename}', 'r') as file:
return file.read()
# Function to call Groq API with system prompt and user input
def call_groq(system_prompt, user_input):
headers = {"Authorization": f"Bearer {GROQ_API_KEY}"}
payload = {
"model": "deepseek-r1-distill-llama-70b",
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input}
]
}
print("Sending payload to Groq API...")
print(payload)
response = requests.post(GROQ_API_URL, json=payload, headers=headers)
print("Groq API response status:", response.status_code)
print("Groq API response body:", response.text)
if response.status_code != 200:
raise Exception(f"Groq API error: {response.status_code} - {response.text}")
data = response.json()
if 'choices' not in data or not data['choices']:
raise Exception("Groq API returned no choices.")
return data['choices'][0]['message']['content']
def generate_ad_image(prompt, n_images=1, size="1024x1024"):
headers = {
"Authorization": f"Bearer {OPENAI_API_KEY}",
"Content-Type": "application/json"
}
payload = {
"prompt": prompt,
"n": n_images,
"size": size
}
response = requests.post(OPENAI_API_URL, json=payload, headers=headers)
if response.status_code != 200:
raise Exception(f"OpenAI API error: {response.status_code} - {response.text}")
data = response.json()
if 'data' not in data or not data['data']:
raise Exception("OpenAI API returned no image data.")
return [item['url'] for item in data['data']]
def ad_copy_agent(product, description, audience, tone):
system_prompt = load_prompt("ad_copy_prompt.txt")
user_input = f"Product: {product}\nDescription: {description}\nAudience: {audience}\nTone: {tone}"
output = call_groq(system_prompt, user_input)
# Split out the image prompt section
parts = output.split('Image Prompt:')
ad_section = parts[0].strip()
image_prompt = parts[1].strip() if len(parts) > 1 else ''
# Extract clean ad copies
ad_copies = []
for line in ad_section.split('\n'):
if line.strip():
ad_copies.append(line.strip())
ad_copy_text = '\n'.join(ad_copies)
return ad_copy_text, image_prompt
def sentiment_agent(social_data):
system_prompt = load_prompt("sentiment_prompt.txt")
return call_groq(system_prompt, social_data)
def timing_agent(platform):
system_prompt = load_prompt("timing_prompt.txt")
return call_groq(system_prompt, f"Platform: {platform}") |