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app.py
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import gradio as gr
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from groq import Groq
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import time
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client = Groq(api_key="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")
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CONTEXT = (
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"This is a conversation with ParvizGPT. It is an artificial intelligence model designed by Amir Mahdi Parviz, "
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"an NLP expert, to help you with various tasks such as answering questions in persian, "
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"providing recommendations, and assisting with decision-making. Ask it anything!"
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)
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def generate_response(message, chat_history):
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full_message = CONTEXT + f"\nYou: {message}به فارسی بگو\nParvizGPT: "
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chat_completion = client.chat.completions.create(
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messages=[{"role": "user", "content": full_message}],
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model= "llama-3.1-8b-instant",
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)
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bot_message = chat_completion.choices[0].message.content
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for i in range(0, len(bot_message), 10):
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yield chat_history + [(message, bot_message[:i + 10])]
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time.sleep(0.1)
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yield chat_history + [(message, bot_message)]
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with gr.Blocks() as demo:
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gr.Markdown("<h1 style='text-align: center;'>💬 Parviz GPT</h1><p style='text-align: center; color: #e0e0e0;'>زنده باد</p>")
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chatbot = gr.Chatbot(label="جواب")
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msg = gr.Textbox(label="ورودی", placeholder="اینجا یه چی بپرس... ", lines=1)
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msg.submit(generate_response, [msg, chatbot], chatbot)
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clear = gr.ClearButton([msg, chatbot])
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demo.launch()
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