Spaces:
Sleeping
Sleeping
| import os | |
| from groq import Groq | |
| import gradio as gr | |
| DESCRIPTION = ''' | |
| <div> | |
| <h1 style="text-align: center;">Meta Llama3 8B</h1> | |
| <p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"><b>Meta Llama3 8b Chat</b></a>. Meta Llama3 is the new open LLM and comes in two sizes: 8b and 70b. Feel free to play with it, or duplicate to run privately!</p> | |
| <p>🔎 For more details about the Llama3 release and how to use the model with <code>transformers</code>, take a look <a href="https://huggingface.co/blog/llama3">at our blog post</a>.</p> | |
| <p>🦕 Looking for an even more powerful model? Check out the <a href="https://huggingface.co/chat/"><b>Hugging Chat</b></a> integration for Meta Llama 3 70b</p> | |
| </div> | |
| ''' | |
| LICENSE = """ | |
| <p/> | |
| --- | |
| Built with Meta Llama 3 | |
| """ | |
| PLACEHOLDER = """ | |
| <div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;"> | |
| <img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/8e75e61cc9bab22b7ce3dec85ab0e6db1da5d107/Meta_lockup_positive%20primary_RGB.jpg" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55; "> | |
| <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Meta llama3</h1> | |
| <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Ask me anything related to Ayur Veda</p> | |
| </div> | |
| """ | |
| css = """ | |
| h1 { | |
| text-align: center; | |
| display: block; | |
| } | |
| #duplicate-button { | |
| margin: auto; | |
| color: white; | |
| background: #1565c0; | |
| border-radius: 100vh; | |
| } | |
| """ | |
| client = Groq( | |
| api_key =os.getenv('api_key_gorq') | |
| ) | |
| def response_from_llam3(query): | |
| messages = [ | |
| { | |
| "role" : "system", | |
| "content": "You are an helpul Assistant who has plently of Knowledge on Ayur Veda. If the message is Hi or any greeting say namste how can i assist you " | |
| }, | |
| { | |
| "role": "user", | |
| "content": "What is the answer to {}".format(query) | |
| } | |
| ] | |
| response = client.chat.completions.create( | |
| messages = messages, | |
| model = "llama3-70b-8192" | |
| ) | |
| return response.choices[0].message.content | |
| # iface = gr.Interface( | |
| # fn=response_from_llam3, | |
| # inputs="text", | |
| # outputs="text", | |
| # examples=[ | |
| # ['What is importance of fasting according to Ayurveda?'], | |
| # ['What are the medicinal values of Tusli?'], | |
| # ['What are the three different doshas?'], | |
| # ['What is the ideal diet according to ayurveda?'] | |
| # ], | |
| # cache_examples=False, | |
| # ) | |
| # iface.launch() | |
| # Gradio block | |
| chatbot=gr.Chatbot(height=450, placeholder=PLACEHOLDER, label='Gradio ChatInterface') | |
| with gr.Blocks(fill_height=True, css=css) as demo: | |
| gr.Markdown(DESCRIPTION) | |
| gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button") | |
| gr.ChatInterface( | |
| fn=response_from_llam3, | |
| chatbot=chatbot, | |
| fill_height=True, | |
| additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False), | |
| # additional_inputs=[ | |
| # gr.Slider(minimum=0, | |
| # maximum=1, | |
| # step=0.1, | |
| # value=0.95, | |
| # label="Temperature", | |
| # render=False), | |
| # gr.Slider(minimum=128, | |
| # maximum=4096, | |
| # step=1, | |
| # value=512, | |
| # label="Max new tokens", | |
| # render=False ), | |
| # ], | |
| examples=[ | |
| ['What is importance of fasting according to Ayurveda?'], | |
| ['What are the medicinal values of Tusli?'], | |
| ['What are the three different doshas?'], | |
| ['What is the ideal diet according to ayurveda?'] | |
| ], | |
| cache_examples=False, | |
| ) | |
| gr.Markdown(LICENSE) | |
| if __name__ == "__main__": | |
| demo.launch() |