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Add example for video generation
Add support for images in messages
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@ -21,6 +21,7 @@ The G4F AsyncClient API is designed to be compatible with the OpenAI API, making
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- [Using a Vision Model](#using-a-vision-model)
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- **[Transcribing Audio with Chat Completions](#transcribing-audio-with-chat-completions)** *(New Section)*
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- [Image Generation](#image-generation)
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- **[Video Generation](#video-generation)** *(New Section)*
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- [Advanced Usage](#advanced-usage)
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- [Conversation Memory](#conversation-memory)
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- [Search Tool Support](#search-tool-support)
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@ -327,6 +328,46 @@ asyncio.run(main())
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---
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### Video Generation
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The G4F `AsyncClient` also supports **video generation** through supported providers like `HuggingFaceMedia`. You can retrieve the list of available video models and generate videos from prompts.
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**Example: Generate a video using a prompt**
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```python
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import asyncio
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from g4f.client import AsyncClient
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from g4f.Provider import HuggingFaceMedia
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async def main():
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client = AsyncClient(
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provider=HuggingFaceMedia,
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api_key="hf_***" # Your API key here
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)
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# Get available video models
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video_models = client.models.get_video()
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print("Available Video Models:", video_models)
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# Generate video
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result = await client.media.generate(
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model=video_models[0],
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prompt="G4F AI technology is the best in the world.",
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response_format="url"
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)
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print("Generated Video URL:", result.data[0].url)
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asyncio.run(main())
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```
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#### Explanation
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- **Client Initialization**: An `AsyncClient` is initialized using the `HuggingFaceMedia` provider with an API key.
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- **Model Discovery**: `client.models.get_video()` fetches a list of supported video models.
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- **Video Generation**: A prompt is submitted to generate a video using `await client.media.generate(...)`.
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- **Output**: The result includes a URL to the generated video, accessed via `result.data[0].url`.
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> Make sure your selected provider supports media generation and your API key has appropriate permissions.
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## Advanced Usage
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