Hello,
I’ve a problem on showing the code data separate from the text data, here I get this data from Open AI, with code interpreters, but the text element doesn’t show the code data differently. Can anyone help on how to show the code elements on this text data below differently?
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Prerequisites:
- An API key from OpenAI for using GPT-3.
- Python installed on your machine.
- Install necessary Python libraries:
openai
,speech_recognition
,pyttsx3
.
You can install the required libraries using pip:
pip install openai speech_recognition pyttsx3
Steps to create the voice assistant:
- Speech to Text: Capture the audio and convert it to text.
- Process the Query with GPT-3: Send the text to GPT-3 and get the response.
- Text to Speech: Convert the response text back to speech and play it.
Here is a Python script that accomplishes this:
import speech_recognition as sr
import pyttsx3
import openai
# Initialize the speech recognition and text to speech engine
recognizer = sr.Recognizer()
tts_engine = pyttsx3.init()
# OpenAI API key and setup
openai_api_key = 'your_openai_api_key_here'
openai_organization = 'your_openai_organization_id_here'
def listen():
"""Listen to microphone and convert speech to text."""
with sr.Microphone() as source:
print("Listening...")
audio = recognizer.listen(source)
try:
text = recognizer.recognize_google(audio)
print(f"Recognized: {text}")
return text
except Exception as e:
print(f"Error: {e}")
return None
def ask_gpt3(question):
"""Send a text question to GPT-3 and return the response."""
response = openai.Completion.create(
engine="text-davinci-003",
prompt=question,
max_tokens=150,
api_key=openai_api_key,
organization=openai_organization
)
answer = response.choices[0].text.strip()
print(f"GPT-3 response: {answer}")
return answer
def speak(text):
"""Convert text to speech and play it."""
tts_engine.say(text)
tts_engine.runAndWait()
def main():
question = listen()
if question:
answer = ask_gpt3(question)
speak(answer)
if __name__ == "__main__":
main()
This script does the following:
- Listens to the user’s voice through the microphone.
- Converts the captured speech to text.
- Uses GPT-3 to process the text and generate a response.
- Converts the GPT-3 response back into speech and reads it aloud.
Additional Considerations:
- Error Handling: The script should properly handle and log errors, especially for speech recognition failures.
- Security and Privacy: Ensure that any sensitive data captured or processed by your assistant is handled securely.
- Customizing Voice Properties: You can customize the speech output (such as rate and volume) through
pyttsx3
.
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