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Update app.py
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app.py
CHANGED
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# from huggingface_hub import login, HfFolder
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import subprocess
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subprocess.run(
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subprocess.
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import os
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HF_TOKEN = os.environ["HF_TOKEN"]
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# # from huggingface_hub import login, HfFolder
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# import subprocess
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# subprocess.run(["pip", "install", "--upgrade", "pip"], check=True)
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# subprocess.run(["pip", "install", "--upgrade", "torch"], check=True)
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# subprocess.run(["pip", "install", "--upgrade", "transformers"], check=True)
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# subprocess.run(["pip", "install", "--upgrade", "bitsandbytes"], check=True)
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# subprocess.run(["pip", "install", "--upgrade", "peft"], check=True)
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# subprocess.run(["pip", "install", "--upgrade", "xformers"], check=True)
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# subprocess.run(["pip", "install", "--upgrade", "accelerate"], check=True)
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# subprocess.run(["pip", "install", "unsloth[cu121-ampere-torch230] @ git+https://github.com/unslothai/unsloth.git"], check=True)
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import subprocess
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def run_command(cmd, shell=False):
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"""Runs a shell command and prints the output."""
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try:
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result = subprocess.run(cmd, shell=shell, capture_output=True, text=True, check=True)
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print(result.stdout)
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except subprocess.CalledProcessError as e:
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print(f"Error executing command: {e.stderr}")
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# 1. Create the conda environment
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run_command("conda create -y --name unsloth_env python=3.10")
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# 2. Activate the environment (Note: Requires shell=True)
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run_command("conda activate unsloth_env", shell=True)
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# 3. Install PyTorch and related packages with conda
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run_command("conda install pytorch-cuda=<12.1/11.8> pytorch cudatoolkit xformers -c pytorch -c nvidia -c xformers")
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# 4. Install unsloth from the GitHub repository with pip
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run_command("pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"")
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# 5. Install additional pip packages without dependencies
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run_command("pip install --no-deps trl peft accelerate bitsandbytes")
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import os
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HF_TOKEN = os.environ["HF_TOKEN"]
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