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Update app.py
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app.py
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@@ -11,43 +11,48 @@ API_KEY = os.environ.get('HUGGINGFACE_API_KEY')
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headers = {"Authorization":"Bearer "+API_KEY}
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model_links ={
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"Mistral":base_url+"mistralai/Mistral-7B-Instruct-v0.2",
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"
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"Gemma-2B":base_url+"google/gemma-2b-it",
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"Zephyr-7B-β":base_url+"HuggingFaceH4/zephyr-7b-beta",
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# "Llama-2":"meta-llama/Llama-2-7b-chat-hf"
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}
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#Pull info about the model to display
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model_info ={
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"Mistral":
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{'description':"""The Mistral model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the [**Mistral AI**](https://mistral.ai/news/announcing-mistral-7b/) team as has over **7 billion parameters.** \n""",
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'logo':'https://mistral.ai/images/logo_hubc88c4ece131b91c7cb753f40e9e1cc5_2589_256x0_resize_q97_h2_lanczos_3.webp'},
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"
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{'description':"""The
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\nIt was created by the [**
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'logo':'https://
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}
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headers = {"Authorization":"Bearer "+API_KEY}
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model_links ={
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"Mistral-7B":base_url+"mistralai/Mistral-7B-Instruct-v0.2",
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"Mistral-22B":base_url+"mistral-community/Mixtral-8x22B-v0.1",
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# "Gemma-2B":base_url+"google/gemma-2b-it",
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# "Zephyr-7B-β":base_url+"HuggingFaceH4/zephyr-7b-beta",
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# "Llama-2":"meta-llama/Llama-2-7b-chat-hf"
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}
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#Pull info about the model to display
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model_info ={
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"Mistral-7B":
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{'description':"""The Mistral model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the [**Mistral AI**](https://mistral.ai/news/announcing-mistral-7b/) team as has over **7 billion parameters.** \n""",
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'logo':'https://mistral.ai/images/logo_hubc88c4ece131b91c7cb753f40e9e1cc5_2589_256x0_resize_q97_h2_lanczos_3.webp'},
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"Mistral-22B":
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{'description':"""The Mistral model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the [**Mistral AI**](https://mistral.ai/news/announcing-mistral-22b/) team as has over **22 billion parameters.** \n""",
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'logo':'https://mistral.ai/images/logo_hubc88c4ece131b91c7cb753f40e9e1cc5_2589_256x0_resize_q97_h2_lanczos_3.webp'}
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# "Gemma-7B":
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# {'description':"""The Gemma model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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# \nIt was created by the [**Google's AI Team**](https://blog.google/technology/developers/gemma-open-models/) team as has over **7 billion parameters.** \n""",
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# 'logo':'https://pbs.twimg.com/media/GG3sJg7X0AEaNIq.jpg'},
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# "Gemma-2B":
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# {'description':"""The Gemma model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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# \nIt was created by the [**Google's AI Team**](https://blog.google/technology/developers/gemma-open-models/) team as has over **2 billion parameters.** \n""",
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# 'logo':'https://pbs.twimg.com/media/GG3sJg7X0AEaNIq.jpg'},
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# "Zephyr-7B":
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# {'description':"""The Zephyr model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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# \nFrom Huggingface: \n\
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# Zephyr is a series of language models that are trained to act as helpful assistants. \
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# [Zephyr 7B Gemma](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1)\
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# is the third model in the series, and is a fine-tuned version of google/gemma-7b \
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# that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO)\n""",
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# 'logo':'https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1/resolve/main/thumbnail.png'},
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# "Zephyr-7B-β":
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# {'description':"""The Zephyr model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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# \nFrom Huggingface: \n\
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# Zephyr is a series of language models that are trained to act as helpful assistants. \
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# [Zephyr-7B-β](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)\
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# is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 \
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# that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO)\n""",
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# 'logo':'https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/resolve/main/thumbnail.png'},
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}
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