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PodCast with Gemini Sample code
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| from google import genai | |
| from google.genai import types | |
| import wave | |
| import datetime | |
| from script import script | |
| # Set up the wave file to save the output: | |
| def wave_file(filename, pcm, channels=1, rate=24000, sample_width=2): | |
| with wave.open(filename, "wb") as wf: | |
| wf.setnchannels(channels) | |
| wf.setsampwidth(sample_width) | |
| wf.setframerate(rate) | |
| wf.writeframes(pcm) | |
| client = genai.Client() | |
| prompt = script | |
| response = client.models.generate_content( | |
| model="gemini-2.5-flash-preview-tts", | |
| contents=prompt, | |
| config=types.GenerateContentConfig( | |
| response_modalities=["AUDIO"], | |
| speech_config=types.SpeechConfig( | |
| multi_speaker_voice_config=types.MultiSpeakerVoiceConfig( | |
| speaker_voice_configs=[ | |
| types.SpeakerVoiceConfig( | |
| speaker='Emma', | |
| voice_config=types.VoiceConfig( | |
| prebuilt_voice_config=types.PrebuiltVoiceConfig( | |
| voice_name='Leda', | |
| ) | |
| ) | |
| ), | |
| types.SpeakerVoiceConfig( | |
| speaker='Eason', | |
| voice_config=types.VoiceConfig( | |
| prebuilt_voice_config=types.PrebuiltVoiceConfig( | |
| voice_name='Puck', | |
| ) | |
| ) | |
| ), | |
| ] | |
| ) | |
| ) | |
| ) | |
| ) | |
| data = response.candidates[0].content.parts[0].inline_data.data | |
| file_name=f'out_{datetime.datetime.now().strftime("%Y%m%d_%H%M%S")}.wav' | |
| wave_file(file_name, data) # Saves the file to current directory |
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