Spaces:
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Logo as picture, not link
Browse files
app.py
CHANGED
@@ -2,6 +2,7 @@ import streamlit as st
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from huggingface_hub import InferenceClient
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import os
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import sys
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st.title("SmallZOO ChatBot 3B")
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@@ -18,20 +19,20 @@ model_info ={
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"Llama-3.2 [3B]":
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{'description':"""The Llama-3.2 3B Instruct model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nA SLM (Large Language Model) is best for applications requiring fast response times, low resource consumption, and specific, narrow tasks. \n""",
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'logo':'
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'url':'https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct'},
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"Qwen2.5 [3B]":
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{'description':"""The Qwen2.5 3B Instruct model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nA SLM (Large Language Model) is best for applications requiring fast response times, low resource consumption, and specific, narrow tasks. \\n""",
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'logo':'
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'url':'https://huggingface.co/Qwen/Qwen2.5-3B-Instruct'},
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"Phi-3.5 [3.82B]":
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\nA SLM (Large Language Model) is best for applications requiring fast response times, low resource consumption, and specific, narrow tasks. \ \n""",
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}
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def format_promt(message, custom_instructions=None):
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@@ -88,9 +89,9 @@ st.sidebar.button('Reset Chat', on_click=reset_conversation)
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st.sidebar.write(f"You're now chatting with **{selected_model}**")
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st.sidebar.markdown(model_info[selected_model]['description'])
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st.sidebar.
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st.sidebar.markdown(f"[View model on 🤗 Hugging Face]({model_info[selected_model]['url']})")
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st.sidebar.markdown("*Generated content can be inaccurate, offensive or non-factual!!!*")
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if "prev_option" not in st.session_state:
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st.session_state.prev_option = selected_model
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from huggingface_hub import InferenceClient
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import os
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import sys
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from PIL import Image
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st.title("SmallZOO ChatBot 3B")
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"Llama-3.2 [3B]":
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{'description':"""The Llama-3.2 3B Instruct model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nA SLM (Large Language Model) is best for applications requiring fast response times, low resource consumption, and specific, narrow tasks. \n""",
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'logo':'Meta.png',
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'url':'https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct'},
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"Qwen2.5 [3B]":
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{'description':"""The Qwen2.5 3B Instruct model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nA SLM (Large Language Model) is best for applications requiring fast response times, low resource consumption, and specific, narrow tasks. \\n""",
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'logo':'Qwen.png',
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'url':'https://huggingface.co/Qwen/Qwen2.5-3B-Instruct'},
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"Phi-3.5 [3.82B]":
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{'description':"""The Phi-3.5 mini instruct model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nA SLM (Large Language Model) is best for applications requiring fast response times, low resource consumption, and specific, narrow tasks. \ \n""",
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'logo':'ms.png',
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'url':'https://huggingface.co/microsoft/Phi-3.5-mini-instruct'},
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}
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def format_promt(message, custom_instructions=None):
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st.sidebar.write(f"You're now chatting with **{selected_model}**")
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st.sidebar.markdown(model_info[selected_model]['description'])
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st.sidebar.image(model_info[selected_model]['logo'])
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st.sidebar.markdown(f"[View model on 🤗 Hugging Face]({model_info[selected_model]['url']})")
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st.sidebar.markdown("*Generated content can be outdated, inaccurate, offensive or non-factual!!!*")
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if "prev_option" not in st.session_state:
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st.session_state.prev_option = selected_model
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