import gradio as gr
from transformers import pipeline
import requests
import os

start_token = "<s>"
start_instruction_token = "[INST] "
end_instruction_token = " [/INST]"
system_prompt = "Sei un assistente utile ed affidabile. Rispondi in maniera adeguata alla domanda seguente:\n"
start_completion = "\nRisposta:"

API_URL = "https://jadvy64czlx56190.us-east-1.aws.endpoints.huggingface.cloud"
token = "Bearer " + os.getenv("ITACA_TOKEN")

headers = {
    "Accept": "application/json",
    "Authorization": token,
    "Content-Type": "application/json"
}


def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()


def predict(message, history):
    new_message = start_token + start_instruction_token + system_prompt + message + end_instruction_token + start_completion
    print(new_message)
    output = query({
        "inputs": new_message,
        "parameters": {
    		"temperature": 0.7,
    		"max_new_tokens": 512,
    		"return_full_text": False
    	}
    })
    return output[0]["generated_text"]

iface = gr.ChatInterface(predict)
iface.launch(share=True)