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chatbot_function.py
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chatbot_function.py
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from openai import OpenAI
import datetime
import os
from langdetect import detect
# Load environment variables for OpenAI API key
client = OpenAI()
def get_api_key():
api_key = os.environ.get("OPENAI_API_KEY")
if not api_key:
raise Exception("OpenAI API key not found in environment variables.")
return api_key
# Function for speech-to-text conversion
def speech_to_text_conversion(file_path):
"""
Converts audio format message to text using OpenAI's Whisper model.
Infers the language from the transcribed text.
"""
audio_file = open(file_path, "rb") # Opening the audio file in binary read mode
transcription = client.audio.transcriptions.create(
model="whisper-1", # Model to use for transcription
file=audio_file # Audio file to transcribe
)
# Transcription text
transcribed_text = transcription.text
# Detect language from the transcribed text using langdetect
detected_language = detect(transcribed_text)
return transcribed_text, detected_language
# Translate text from any language to English
def translate_to_english(text):
"""
Translates text from any language to English using GPT model.
"""
prompt = f"Translate the following text to English:\n\n{text}"
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a translator. Do not provide explanations, only translation."},
{"role": "user", "content": prompt}
]
)
return response.choices[0].message.content
def translate_back_to_original(text, original_language):
"""
Translates text from English back to the original language using GPT model.
"""
# Explicit translation task, no interpretation or explanations
prompt = f"Translate the following text from English to {original_language}:\n\n{text}"
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": f"Translate to {original_language} without providing explanations or context."},
{"role": "user", "content": prompt}
]
)
return response.choices[0].message.content
# Generate a response using OpenAI GPT
def text_chat(text):
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": text}
]
)
return response.choices[0].message.content
# Convert text to speech
def text_to_speech_conversion(text):
if text:
speech_file_path = datetime.datetime.now().strftime("%Y%m%d%H%M%S") + "_speech.webm"
response = client.audio.speech.create(
model="tts-1",
voice="fable", # Choose the voice you want
input=text
)
response.stream_to_file(speech_file_path)
with open(speech_file_path, "rb") as audio_file:
audio_data = audio_file.read()
os.remove(speech_file_path)
return audio_data