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https://github.com/xtekky/gpt4free.git
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d824d77d65
- Updated `PollinationsAI.py` to strip trailing periods and newlines from the prompt before encoding. - Modified the encoding of the prompt to remove trailing percent signs after URL encoding. - Simplified the audio response handling in `PollinationsAI.py` by removing unnecessary checks and yielding chunks directly. - Renamed `ARTA.py` to `deprecated/ARTA.py` and updated import paths accordingly in `__init__.py`. - Changed the `working` status of the `ARTA` class to `False` to indicate it is deprecated. - Enhanced the `Video` class in `Video.py` to include aspect ratio handling and improved URL response caching. - Updated the `RequestConfig` class to use a dictionary for storing URLs associated with prompts. - Removed references to the `ARTA` provider in various files, including `models.py` and `any_provider.py`. - Adjusted the `best_provider` assignments in `models.py` to exclude `ARTA` and include `HuggingFaceMedia` where applicable. - Updated the response handling in `Video.py` to yield cached responses when available.
54 lines
2.2 KiB
Python
54 lines
2.2 KiB
Python
default_model = "Qwen/Qwen2.5-72B-Instruct"
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default_image_model = "black-forest-labs/FLUX.1-dev"
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image_models = [
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default_image_model,
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"black-forest-labs/FLUX.1-schnell",
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]
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text_models = [
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default_model,
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'meta-llama/Llama-3.3-70B-Instruct',
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'CohereForAI/c4ai-command-r-plus-08-2024',
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'deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
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'Qwen/QwQ-32B',
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'nvidia/Llama-3.1-Nemotron-70B-Instruct-HF',
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'Qwen/Qwen2.5-Coder-32B-Instruct',
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'meta-llama/Llama-3.2-11B-Vision-Instruct',
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'mistralai/Mistral-Nemo-Instruct-2407',
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'microsoft/Phi-3.5-mini-instruct',
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]
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fallback_models = text_models + image_models
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model_aliases = {
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### Chat ###
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"qwen-2.5-72b": "Qwen/Qwen2.5-Coder-32B-Instruct",
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"llama-3": "meta-llama/Llama-3.3-70B-Instruct",
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"llama-3.3-70b": "meta-llama/Llama-3.3-70B-Instruct",
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"command-r-plus": "CohereForAI/c4ai-command-r-plus-08-2024",
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"deepseek-r1": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
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"qwq-32b": "Qwen/QwQ-32B",
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"nemotron-70b": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
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"qwen-2.5-coder-32b": "Qwen/Qwen2.5-Coder-32B-Instruct",
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"llama-3.2-11b": "meta-llama/Llama-3.2-11B-Vision-Instruct",
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"mistral-nemo": "mistralai/Mistral-Nemo-Instruct-2407",
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"phi-3.5-mini": "microsoft/Phi-3.5-mini-instruct",
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### Image ###
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"flux": "black-forest-labs/FLUX.1-dev",
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"flux-dev": "black-forest-labs/FLUX.1-dev",
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"flux-schnell": "black-forest-labs/FLUX.1-schnell",
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"stable-diffusion-3.5-large": "stabilityai/stable-diffusion-3.5-large",
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"sdxl-1.0": "stabilityai/stable-diffusion-xl-base-1.0",
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"sdxl-turbo": "stabilityai/sdxl-turbo",
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"sd-3.5-large": "stabilityai/stable-diffusion-3.5-large",
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### Used in other providers ###
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"qwen-2-vl-7b": "Qwen/Qwen2-VL-7B-Instruct",
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"gemma-2-27b": "google/gemma-2-27b-it",
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"qwen-2-72b": "Qwen/Qwen2-72B-Instruct",
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"qvq-72b": "Qwen/QVQ-72B-Preview",
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}
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extra_models = [
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"meta-llama/Llama-3.2-11B-Vision-Instruct",
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"nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
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"NousResearch/Hermes-3-Llama-3.1-8B",
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]
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default_vision_model = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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default_llama_model = "meta-llama/Llama-3.3-70B-Instruct"
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vision_models = [default_vision_model, "Qwen/Qwen2-VL-7B-Instruct"] |