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# Motivation-Letter-Generator | |
from transformers import AutoModelForCausalLM, AutoTokenizer, AutoTokenizer, AutoModelForSeq2SeqLM, set_seed, pipeline | |
import gradio as gr | |
### need more GPU power to call better models !!!!!! | |
#model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/T0pp", use_cache=True) # 11B param | |
#tokenizer = AutoTokenizer.from_pretrained("bigscience/T0pp") | |
model = AutoModelForCausalLM.from_pretrained('EleutherAI/gpt-neo-1.3B', use_cache=True) | |
tokenizer = AutoTokenizer.from_pretrained('EleutherAI/gpt-neo-1.3B') | |
set_seed(424242) | |
def generate(Name, Position, Organization, max_length=500, top_k=1, temperature=0.9, repetition_penalty = 2.0): | |
prompt = f"i'm {Name} and i want to write a motivation letter to an employer about the position of {Position} at {Organization} mentioning the hard skills and soft skills i have acquired" | |
input_ids = tokenizer(prompt, return_tensors="pt").to(0) | |
sample = model.generate(**input_ids, max_length=max_length, top_k=top_k, temperature=temperature, repetition_penalty = repetition_penalty) | |
return tokenizer.decode(sample[0], truncate_before_pattern=[r"\n\n^#", "^'''", "\n\n\n"]) | |
title = "Motivation Letter Generator" | |
article = "Impress your employer" | |
gr = gr.Interface(fn = generate, inputs=["text", "text", "text"], outputs="text", title=title, article=article) | |
gr.launch() | |