Create text_to_speech.py

text_to_speech.py

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+# text_to_speech.py
+
+import os
+from elevenlabs import VoiceSettings, ElevenLabs
+
+ELEVENLABS_API_KEY = "sk_29eaa30255601541b3a80f470ac8c45987c007b8e2dfb791"
+client = ElevenLabs(api_key=ELEVENLABS_API_KEY)
+
+def text_to_speech_file(text: str) -> str:
+    # Calling the text-to-speech conversion API with detailed parameters
+    response = client.text_to_speech.convert(
+        voice_id="XrExE9yKIg1WjnnlVkGX",  # Adam pre-made voice
+        output_format="mp3_22050_32",
+        text=text,
+        model_id="eleven_turbo_v2_5",  # use the turbo model for low latency
+        voice_settings=VoiceSettings(
+            stability=0.0,
+            similarity_boost=1.0,
+            style=0.0,
+            use_speaker_boost=True,
+        ),
+    )
+
+    # Generating a unique file name for the output MP3 file
+    save_file_path = "output.wav"
+
+    # Writing the audio to a file
+    with open(save_file_path, "wb") as f:
+        for chunk in response:
+            if chunk:
+                f.write(chunk)
+
+    print(f"{save_file_path}: A new audio file was saved successfully!")
+    return save_file_path