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| from openai import OpenAI | |
| import os | |
| def generate_audio_and_text(api_key, input_text, model_name, voice_type, voice_speed, output_option): | |
| """ | |
| Generate audio and text files from input text using OpenAI's TTS API. | |
| Args: | |
| api_key (str): OpenAI API key | |
| input_text (str): Text to convert to speech | |
| model_name (str): OpenAI model name | |
| voice_type (str): Voice type for TTS | |
| voice_speed (float): Speed of speech | |
| output_option (str): Output type ('audio', 'script_text', or 'both') | |
| Returns: | |
| tuple: (audio_file_path, script_file_path, status_message) | |
| """ | |
| if not input_text: | |
| return None, None, "No input text provided" | |
| if not api_key: | |
| return None, None, "No API key provided" | |
| try: | |
| client = OpenAI(api_key=api_key) | |
| # Create temp directory if it doesn't exist | |
| temp_dir = os.path.join(os.getcwd(), 'temp') | |
| if not os.path.exists(temp_dir): | |
| os.makedirs(temp_dir) | |
| # Generate audio file | |
| audio_file = None | |
| if output_option in ["audio", "both"]: | |
| speech_response = client.audio.speech.create( | |
| model="tts-1", | |
| voice=voice_type, | |
| input=input_text, | |
| speed=float(voice_speed) | |
| ) | |
| # Save the audio to a temporary file | |
| audio_path = os.path.join(temp_dir, f"output_{hash(input_text)}.mp3") | |
| with open(audio_path, "wb") as f: | |
| for chunk in speech_response.iter_bytes(): | |
| f.write(chunk) | |
| audio_file = audio_path | |
| # Save the input text as a script file | |
| script_file = None | |
| if output_option in ["script_text", "both"]: | |
| script_path = os.path.join(temp_dir, f"script_{hash(input_text)}.txt") | |
| with open(script_path, "w", encoding='utf-8') as f: | |
| f.write(input_text) | |
| script_file = script_path | |
| status_message = "Generation completed successfully!" | |
| return audio_file, script_file, status_message | |
| except Exception as e: | |
| return None, None, f"Error: {str(e)}" |