Update src/streamlit_app.py
Browse files- src/streamlit_app.py +6 -2
src/streamlit_app.py
CHANGED
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@@ -1,6 +1,10 @@
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import streamlit as st
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import transformers
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from transformers import pipeline
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def infer(sent, max_length, num_return_sequences):
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generator = pipeline('text-generation', model='gpt2')
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@@ -8,12 +12,12 @@ def infer(sent, max_length, num_return_sequences):
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return generator(sent, max_length=max_length, num_return_sequences=num_return_sequences)
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def instantiate_gpt2(max_length_ : int, num_return_sequences : int, text : str) -> dict:
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pipe = pipeline(task='text-generation', model='Iscte-Sintra/GPT2-Kriolu')
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results = pipe(text, max_length=max_length_, num_return_sequences=num_return_sequences)
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return results
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def instantiate_roberta(top_k : int, text : str) -> dict:
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pipe = pipeline("fill-mask", model="Iscte-Sintra/RoBERTa-Kriolu")
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return pipe(text, top_k=top_k)
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def build_gpt2_page():
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import streamlit as st
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import transformers
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from transformers import pipeline
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import os
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# Read token from environment (set as secret in Space settings)
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token = os.environ.get("token")
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def infer(sent, max_length, num_return_sequences):
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generator = pipeline('text-generation', model='gpt2')
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return generator(sent, max_length=max_length, num_return_sequences=num_return_sequences)
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def instantiate_gpt2(max_length_ : int, num_return_sequences : int, text : str) -> dict:
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pipe = pipeline(task='text-generation', model='Iscte-Sintra/GPT2-Kriolu', token=token)
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results = pipe(text, max_length=max_length_, num_return_sequences=num_return_sequences)
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return results
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def instantiate_roberta(top_k : int, text : str) -> dict:
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pipe = pipeline("fill-mask", model="Iscte-Sintra/RoBERTa-Kriolu", token=token)
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return pipe(text, top_k=top_k)
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def build_gpt2_page():
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