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app.py
CHANGED
@@ -1,3 +1,9 @@
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import streamlit as st
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from openai import OpenAI
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import os
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@@ -9,7 +15,7 @@ load_dotenv()
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# initialize the client
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client = OpenAI(
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base_url="https://api-inference.huggingface.co/v1",
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api_key=os.environ.get('HUGGINGFACEHUB_API_TOKEN')#"hf_xxx" # Replace with your token
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@@ -23,7 +29,7 @@ model_links ={
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"Mistral":"mistralai/Mistral-7B-Instruct-v0.2",
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"Gemma-7B":"google/gemma-7b-it",
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"Gemma-2B":"google/gemma-2b-it",
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# "Llama-2":"meta-llama/Llama-2-7b-chat-hf"
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}
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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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"
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{'description':"""The
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\nFrom Huggingface:
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Zephyr
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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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}
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""" Simple Chatbot
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@author: Nigel Gebodh
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@email: nigel.gebodh@gmail.com
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"""
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import streamlit as st
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from openai import OpenAI
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import os
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# initialize the client
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client = OpenAI(
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base_url="https://api-inference.huggingface.co/v1",
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api_key=os.environ.get('HUGGINGFACEHUB_API_TOKEN')#"hf_xxx" # Replace with your token
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"Mistral":"mistralai/Mistral-7B-Instruct-v0.2",
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"Gemma-7B":"google/gemma-7b-it",
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"Gemma-2B":"google/gemma-2b-it",
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"Zephyr-7B-β":"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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{'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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