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Update app.py
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app.py
CHANGED
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@@ -7,19 +7,15 @@ from types import SimpleNamespace
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import pandas as pd
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import streamlit as st
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import torch
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from torch.utils.data import DataLoader
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Local imports
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sys.path.append(
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os.path.abspath(os.path.join(os.path.dirname(__file__), "task_forward"))
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)
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from generation_utils import (
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ReactionT5Dataset,
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decode_output,
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save_multiple_predictions,
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)
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from
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from utils import seed_everything
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warnings.filterwarnings("ignore")
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@@ -101,6 +97,10 @@ with st.sidebar:
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model_help = "Recommended models for product prediction."
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input_max_length_default = 400
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output_max_length_default = 300
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elif task == "retrosynthesis prediction":
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model_options = [
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"sagawa/ReactionT5v2-retrosynthesis",
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@@ -109,6 +109,12 @@ with st.sidebar:
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model_help = "Recommended models for retrosynthesis prediction."
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input_max_length_default = 100
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output_max_length_default = 400
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else: # yield prediction
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model_options = ["sagawa/ReactionT5v2-yield"] # default as requested
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model_help = "Default model for yield prediction."
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@@ -143,8 +149,8 @@ with st.sidebar:
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input_max_length = st.number_input(
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"Input max length",
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min_value=8,
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max_value=
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value=
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step=8,
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)
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if task != "yield prediction":
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import pandas as pd
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import streamlit as st
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import torch
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# Local imports
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from generation_utils import (
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ReactionT5Dataset,
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decode_output,
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save_multiple_predictions,
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)
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from torch.utils.data import DataLoader
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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from utils import seed_everything
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warnings.filterwarnings("ignore")
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model_help = "Recommended models for product prediction."
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input_max_length_default = 400
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output_max_length_default = 300
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sys.path.append(
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os.path.abspath(os.path.join(os.path.dirname(__file__), "task_forward"))
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)
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from train import preprocess_df
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elif task == "retrosynthesis prediction":
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model_options = [
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"sagawa/ReactionT5v2-retrosynthesis",
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model_help = "Recommended models for retrosynthesis prediction."
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input_max_length_default = 100
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output_max_length_default = 400
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sys.path.append(
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os.path.abspath(
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os.path.join(os.path.dirname(__file__), "task_retrosynthesis")
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)
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)
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from train import preprocess_df
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else: # yield prediction
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model_options = ["sagawa/ReactionT5v2-yield"] # default as requested
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model_help = "Default model for yield prediction."
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input_max_length = st.number_input(
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"Input max length",
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min_value=8,
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max_value=1024,
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value=input_max_length_default,
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step=8,
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)
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if task != "yield prediction":
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