Upload 2 files
Browse files- app.py +47 -0
- requirements.txt +4 -0
app.py
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import os
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from groq import Groq
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import gradio as gr
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client = Groq(api_key = os.environ.get("GROQ_API_KEY"), )
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system_prompt = {
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"role": "system",
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"content":
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"You are a useful assistant. You reply with efficient answers. "
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}
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async def chat_groq(message, history):
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messages = [system_prompt]
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for msg in history:
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messages.append({"role": "user", "content": str(msg[0])})
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messages.append({"role": "assistant", "content": str(msg[1])})
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messages.append({"role": "user", "content": str (message)})
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response_content = ''
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stream = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=messages,
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max_tokens=1024,
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temperature=1.3,
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stream=True
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)
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for chunk in stream:
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content = chunk.choices[0].delta.content
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if content:
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response_content += chunk. choices[0].delta.content
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yield response_content
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with gr. Blocks(theme=gr.themes.Monochrome(), fill_height=True) as demo:
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gr.ChatInterface(chat_groq,
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clear_btn=None,
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undo_btn=None,
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retry_btn=None,
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)
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demo.queue()
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demo.launch()
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requirements.txt
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groq
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gradio
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transformers
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torch
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