Ela_Back/tools_cherif/mysy_openai_file.py

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import ast
import pymongo
import zeep
from pymongo import MongoClient
import json
from bson import ObjectId
import re
from datetime import datetime
import prj_common as mycommon
import secrets
import inspect
import sys, os
import csv
import pandas as pd
from pymongo import ReturnDocument
from math import isnan
import GlobalVariable as MYSY_GV
import ela_index_bdd_classes as eibdd
import email_mgt as email
from validate_email import validate_email
import jinja2
from openai import OpenAI
#openai.api_key = MYSY_GV.OPENAI_KEY
client = OpenAI(
# Defaults to os.environ.get("OPENAI_API_KEY")
api_key=MYSY_GV.OPENAI_KEY,
)
GPT_MODEL = "gpt-4-1106-preview" #"gpt-3.5-turbo-1106"
def mysy_openai(diction):
try:
requestion_response = {}
requestion_response['question'] = "Ecris moi une conclusion d'un article qui parle de l'utilisation de l'API ChatGPT"
prompt = f"Améliorer : 'Notre objectif est également de développer des solutions de proximité qui permettront à chacun de nos clients dêtre unique, de se distinguer. Cette approche personnalisée leur permettra de disposer dune solution adaptée à leur besoin.'"
messages = [{"role": "user", "content": prompt}]
response = client.chat.completions.create(
model=GPT_MODEL,
messages=messages,
temperature=0
)
response_message = response.choices[0].message.content
#json_formatted_str = json.dumps(response, indent=2)
refusal_status = response.choices[0].message.refusal
print(" #refusal_status = ", refusal_status)
print(" ### AFFICHAGE GPT RESPONSE ")
print(response.choices[0])
print(response_message)
requestion_response['reponse'] = str(response.choices[0].message.content)
"""
prompt = f"Ecris moi une conclusion d'un article qui parle de l'utilisation de l'API ChatGPT"
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}]
)
print(completion['choices'][0]['message']['content'])
"""
return True,requestion_response
except Exception as e:
exc_type, exc_obj, exc_tb = sys.exc_info()
mycommon.myprint(str(inspect.stack()[0][3]) + " -" + str(e) + " - ERRORRRR AT Line : " + str(exc_tb.tb_lineno))
return False, " Impossible de traiter : mysy_openai"
"""
Test openai voice to text mysy
"""
def mysy_openai_voice_to_text(diction):
try:
print(" ### diction = ", diction)
file_name = "temp_direct/mysy_test_voice_mp3.mp3"
if( "voice_file" in diction.keys() and diction['voice_file'] ):
file_name = diction['voice_file']
print(" ### Traitement du fichier audio : ", file_name)
audio_file = open(file_name, "rb")
transcription = client.audio.transcriptions.create(
model="whisper-1",
file=audio_file,
#response_format = "text"
)
requestion_response = transcription.text
print(" ### AFFICHAGE GPT RESPONSE - mysy_openai_voice_to_text")
print(transcription.text)
return True,requestion_response
except Exception as e:
exc_type, exc_obj, exc_tb = sys.exc_info()
mycommon.myprint(str(inspect.stack()[0][3]) + " -" + str(e) + " - ERRORRRR AT Line : " + str(exc_tb.tb_lineno))
return False, " Impossible de traiter : mysy_openai_voice_to_text"
def mysy_openai_assistant(diction):
try:
requestion_response = {}
my_assistant = client.beta.assistants.create(
instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
name="Math Tutor",
tools=[{"type": "code_interpreter"}],
model="gpt-4o",
)
print(my_assistant)
return True, my_assistant
except Exception as e:
exc_type, exc_obj, exc_tb = sys.exc_info()
mycommon.myprint(str(inspect.stack()[0][3]) + " -" + str(e) + " - ERRORRRR AT Line : " + str(exc_tb.tb_lineno))
return False, " Impossible de traiter : mysy_openai_assistant"