feat(model/qwen-tts) interface change to multimodal_conversation

[songguocola]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @songguocola, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the MultiModalConversation interface by integrating Qwen Text-to-Speech (TTS) functionality. It allows users to generate spoken output directly from text input, expanding the capabilities beyond traditional multimodal conversations. The changes involve modifying the core call methods to accommodate new TTS-specific parameters and updating the data structures to properly handle and return audio outputs.

Highlights

• Qwen TTS Integration: The MultiModalConversation interface now supports Qwen Text-to-Speech (TTS) capabilities, allowing for speech generation from text.
• Flexible Input Parameters: The call method has been updated to accept a new text parameter for TTS, making the messages parameter optional. A voice parameter is also introduced for selecting the desired voice.
• Enhanced Response Structure: The MultiModalConversationOutput now includes an audio field, which is an Audio dataclass containing details like audio data, URL, ID, and expiration time. Usage tracking also includes characters.
• New Example Script: A new sample file, test_qwen_tts.py, has been added to demonstrate how to use the Qwen TTS feature, including both streaming and non-streaming modes.

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[gemini-code-assist]

Code Review

This pull request adapts the multimodal_conversation interface to support qwen-tts, adding a text parameter and handling audio output. The changes are generally well-implemented. My review includes suggestions to add missing input validation to prevent API errors, refactor the input handling logic for better clarity, and fix incorrect print statements in the new sample file which would cause it to fail.