chatbot-educativo / config.py
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import os
import gspread
from oauth2client.service_account import ServiceAccountCredentials
# Read the authentication token from the environment variable
hugging_face_token = os.getenv("HUGGING_FACE_TOKEN")
# Google Sheets configuration
def init_google_sheets_client():
scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name('tokyo-portal-326513-90aee094bab9.json', scope)
return gspread.authorize(creds)
# Google Sheets name
google_sheets_name = "Chatbot Test"
# Define available models
models = {
"Meta-Llama-3-8B-Instruct": "meta-llama/Meta-Llama-3-8B-Instruct",
"Llama-2-7B-Chat": "meta-llama/Llama-2-7b-chat-hf",
"Yi-6B-Chat": "01-ai/Yi-6B-Chat",
"Qwen2-7B-Instruct": "Qwen/Qwen2-7B-Instruct"
}
# List of models fine-tuned in 4-bit or 8-bit
quantized_models = {
"Llama-3-8B-Finetuning-Stories": "rodrisouza/Llama-3-8B-Finetuning-Stories",
}
# Default model name
default_model_name = "Meta-Llama-3-8B-Instruct"
# Define available user names
user_names = ["Laura Musto", "Brian Carpenter", "Germán Capdehourat", "Isabel Amigo", "Aiala Rosá", "Luis Chiruzzo", "Igancio Sastre", "Santiago Góngora", "Ignacio Remersaro", "Rodrigo Souza"]
MAX_INTERACTIONS = 5