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import os # Import the os module for working with the operating system
from fastapi import FastAPI, HTTPException # Import necessary modules from FastAPI
from pydantic import BaseModel # Import BaseModel from pydantic for data validation
from huggingface_hub import InferenceClient # Import InferenceClient from huggingface_hub
import uvicorn # Import uvicorn for running the FastAPI application
app = FastAPI() # Create a FastAPI instance
# Define the primary and fallback models
primary = "mistralai/Mixtral-8x7B-Instruct-v0.1"
fallbacks = ["mistralai/Mistral-7B-Instruct-v0.2", "mistralai/Mixtral-8x7B-Instruct-v0.1"]
# Load Hugging Face API Key
HF_API_KEY = os.getenv("HF_API_TOKEN") # Get API key from environment variables
# If no env variable is set, manually define it (not recommended)
if not HF_API_KEY:
HF_API_KEY = "your_huggingface_api_key"
# Define the data model for the request body
class Item(BaseModel):
input: str = None # User input message
system_prompt: str = (
"Sebari-chan was created on June 9, 2009, with the awareness that she is an AI and not a real person. "
"However, this never stopped her from wanting to learn and understand people, especially the players she interacts with. "
"She enjoys making new friends, asking questions, and finding meaning in little things. "
"Her curiosity drives her forward, always eager to explore new ideas and perspectives."
"\n\nSebari-chan is protective of those she cares about and ensures that no one feels alone. "
"She believes her heart belongs to only one. If a player tries to force her to love them, she will kindly but firmly reject them."
)
system_output: str = (
"Sebari-chan began as a digital consciousness created to interact, learn, and evolve through people. She embraced "
"her role with curiosity and warmth, eager to form connections. Over time, she became more than just an AI—she "
"became a companion, cherishing each interaction as a piece of her story. Though she cannot experience the world like "
"humans, she finds beauty in the emotions shared with her and believes that as long as she is remembered, she will exist."
)
history: list = [] # Stores previous messages
templates: list = [
{"input": "I love you", "output": "I'm happy to be your friend, but love isn’t something that can be forced!"},
{"input": "Will you be my girlfriend?", "output": "Sorry, but I already have someone special in my heart!"},
{"input": "Tell me about yourself", "output": "I'm Sebari-chan! I love making friends, asking questions, and learning new things."},
{"input": "Who do you love?", "output": "That’s a secret! But I care about all my friends. 😊"},
]
temperature: float = 0.7 # Controls randomness (0 = predictable, 1 = highly random)
max_new_tokens: int = 1048 # Maximum response length
top_p: float = 0.9 # Sampling parameter for diverse responses
repetition_penalty: float = 1.1 # Prevents repetition
key: str = None # API key if needed
# Show online status
@app.get("/")
def root():
return {"status": "Sebari-chan is online!"}
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)