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Update app.py
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app.py
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@@ -2,11 +2,12 @@ import os
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from threading import Thread
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from typing import Iterator
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import os
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from huggingface_hub import login
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import gradio as gr
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import spaces
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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MAX_MAX_NEW_TOKENS = 128
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DEFAULT_MAX_NEW_TOKENS = 1024
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@@ -15,7 +16,11 @@ model = None
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tokenizer = None
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my_token = os.getenv("HF_AUTH_TOKEN")
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model_id = "stabilityai/ar-stablelm-2-chat"
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", trust_remote_code=True)
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@@ -135,4 +140,7 @@ with gr.Blocks(css_paths="style.css", fill_height=True) as demo:
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if __name__ == "__main__":
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from threading import Thread
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from typing import Iterator
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import os
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from huggingface_hub import login,whoami
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import gradio as gr
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import spaces
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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import argparse
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MAX_MAX_NEW_TOKENS = 128
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DEFAULT_MAX_NEW_TOKENS = 1024
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tokenizer = None
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my_token = os.getenv("HF_AUTH_TOKEN")
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try:
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username = whoami()
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except OSError:
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login(token = my_token, add_to_git_credential = True)
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model_id = "stabilityai/ar-stablelm-2-chat"
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", trust_remote_code=True)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Gradio App with Sharing")
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parser.add_argument("--share", action="store_true", help="Enable public sharing")
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args = parser.parse_args()
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demo.queue(max_size=20).launch(share = args.share)
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