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Upload app.py
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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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from transformers import TextStreamer
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client = Groq(
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api_key=("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"),
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)
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def generate_response(input_text):
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chat_completion = client.chat.completions.create(
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messages=[
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{
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"role": "user",
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"content": input_text,
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}
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],
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model="llama3-8b-8192",
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)
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streamer = TextStreamer(client=client)
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response = ""
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for chunk in chat_completion.choices[0].message.content:
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response += chunk
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streamer.write(response)
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return response
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custom_css = """
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body {
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background-color: #f4f4f4;
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font-family: 'Arial', sans-serif;
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color: #333;
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}
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h1 {
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color: #007bff;
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}
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.gradio-container {
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border-radius: 15px;
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padding: 20px;
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background-color: white;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
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}
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input[type="text"] {
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border-radius: 10px;
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border: 1px solid #ccc;
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padding: 10px;
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width: 100%;
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}
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button {
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background-color: #007bff;
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color: white;
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border: none;
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padding: 10px 20px;
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border-radius: 10px;
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cursor: pointer;
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font-size: 16px;
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}
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button:hover {
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background-color: #0056b3;
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}
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"""
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iface = gr.Interface(
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fn=generate_response,
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inputs=gr.inputs.Textbox(lines=2, placeholder="یه چی بپرس"),
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outputs="text",
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title="💬 Parviz Chatbot",
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description="زنده باد",
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css=custom_css,
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theme="default",
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layout="vertical",
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allow_flagging="never"
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)
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iface.launch()
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