thrinadhn's picture
Rename LLM_Evaluation.py to helpers.py
a45b607 verified
import requests
import os
from groq import Groq
#from dotenv import load_dotenv
#load_dotenv()
GROQ_API_KEY = "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"
client = Groq(api_key="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",)
#client = Groq(
# api_key=os.environ.get('GROQ_API_KEY'),
#)
def fetch_models():
exclude_models = ['distil-whisper-large-v3-en', 'whisper-large-v3','whisper-large-v3-turbo', "llama3-groq-8b-8192-tool-use-preview", "llama3-groq-70b-8192-tool-use-preview"]
url = "https://api.groq.com/openai/v1/models"
api_key = GROQ_API_KEY#os.environ.get('GROQ_API_KEY')
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
response = requests.get(url, headers=headers).json()['data']
if len(response) != 0:
return [model['id'] for model in response if model['id'] not in exclude_models]
else:
print("Error in fetching models!")
return []
print("selected_model", "<===>","prompt")
def generate_content(selected_model, prompt):
chat_completion = client.chat.completions.create(
messages=[{"role": "user", "content":prompt }],
model=selected_model,
)
return chat_completion.choices[0].message.content