Delete app.py
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app.py
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import gradio as gr
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from llama_cpp import Llama
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# Model setup
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# File ka naam 'ai.gguf' hona chahiye
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model_path = "ai.gguf"
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print("SAM AI is waking up...")
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llm = Llama(
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model_path=model_path,
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n_ctx=2048,
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n_threads=4,
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chat_format="gemma" # Gemma 2.2B ke liye
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)
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def sam_chat(message, history):
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messages = []
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for human, assistant in history:
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messages.append({"role": "user", "content": human})
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messages.append({"role": "assistant", "content": assistant})
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messages.append({"role": "user", "content": message})
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response = llm.create_chat_completion(
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messages=messages,
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max_tokens=1024,
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stream=False
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)
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return response['choices'][0]['message']['content']
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# VIP UI Styling
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custom_css = """
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footer {visibility: hidden}
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.gradio-container {background-color: #f8f9fa;}
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#title-container {text-align: center; padding: 20px;}
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#title-container h1 {color: #1a1a1a; font-family: 'Inter', sans-serif;}
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.message-row.user {background-color: #007aff !important; color: white !important; border-radius: 15px 15px 0 15px !important;}
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.message-row.bot {background-color: #ffffff !important; border: 1px solid #e0e0e0 !important; border-radius: 15px 15px 15px 0 !important;}
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"""
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with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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with gr.Column(elem_id="title-container"):
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gr.Markdown("# 💎 SAM INTERNATIONAL AI")
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gr.Markdown("### Developed by Samahir Studio Production")
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chat = gr.ChatInterface(
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fn=sam_chat,
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type="messages",
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examples=["Hello SAM, tell me about your VIP skills", "Write a Python script for web scraping"],
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)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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