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import streamlit as st |
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from gradio_client import Client |
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TITLE = "Llama2 70B Chatbot" |
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DESCRIPTION = """ |
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This Space demonstrates model [Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) by Meta, |
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a Llama 2 model with 70B parameters fine-tuned for chat instructions. |
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""" |
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client = Client("https://ysharma-explore-llamav2-with-tgi.hf.space/") |
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def predict(message, system_prompt="", temperature=0.9, max_new_tokens=4096): |
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return client.predict( |
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message, |
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system_prompt, |
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temperature, |
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max_new_tokens, |
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0.3, |
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1, |
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api_name="/chat" |
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) |
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st.title(TITLE) |
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st.write(DESCRIPTION) |
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prompt = st.chat_input("Say something") |
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if prompt: |
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st.write(predict(prompt, '',0.7,4096)) |
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