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Update app.py

#7 opened about 1 month ago by

Update requirements.txt

#6 opened about 1 month ago by

transformers gradio torch

#5 opened about 1 month ago by

import gradio as gr from transformers import AutoTokenizer, AutoModelForCausalLM import torch model_name = "microsoft/biogpt" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name) def generate_text(prompt): inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate( **inputs, max_length=100, do_sample=True, top_k=50, top_p=0.95 ) return tokenizer.decode(outputs[0], skip_special_tokens=True) interface = gr.Interface( fn=generate_text, inputs=gr.Textbox(label="Masukkan soalan atau arahan"), outputs=gr.Textbox(label="Jawapan dari BioGPT"), title="BioGPT Botani", description="Masukkan pertanyaan tentang biologi/botani dalam Bahasa Inggeris untuk hasil terbaik." ) interface.launch()

#4 opened about 1 month ago by

Update app.py

#3 opened over 2 years ago by

abhishekmamdapure