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nroggendorff
commited on
Commit
•
fa8a9aa
1
Parent(s):
a3ed834
Create app.py
Browse files
app.py
ADDED
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import gradio as gr
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from transformers import pipeline
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import torch
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import re
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import spaces
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torch.set_default_device("cuda")
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model_id = "glides/llama-eap"
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pipe = pipeline("text-generation", model=model_id, device_map="auto")
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with open("sys", "r") as f:
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system_prompt = f.read()
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def follows_rules(s):
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pattern = r'<thinking>.+?</thinking><output>.+?</output><reflecting>.+?</reflecting><refined>.+?</refined>'
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return bool(re.match(pattern, s.replace("\n", "")))
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@spaces.GPU(duration=120)
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def predict(input_text, history):
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chat = [{"role": "system", "content": system_prompt}]
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for item in history:
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chat.append({"role": "user", "content": item[0]})
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if item[1] is not None:
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chat.append({"role": "assistant", "content": item[1]})
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chat.append({"role": "user", "content": input_text})
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generated_text = pipe(chat, max_new_tokens=2 ** 16)[0]['generated_text'][-1]['content']
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removed_pres = "<thinking>" + generated_text.split("<thinking>")[-1]
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removed_posts = removed_pres.split("</refined>")[0] + "</refined>"
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while not follows_rules(removed_posts):
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print(f"model output {generated_text} was found invalid")
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generated_text = pipe(chat, max_new_tokens=2 ** 16)[0]['generated_text'][-1]['content']
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model_output = removed_posts.split("<refined>")[-1].replace("</refined>", "")
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return model_output
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gr.ChatInterface(predict, theme="soft").launch()
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