xeroISB commited on
Commit
2a93bb9
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1 Parent(s): 033790d

Update app.py

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Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -3,8 +3,9 @@ import numpy as np
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  import pandas as pd
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  from keras.models import load_model
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  from huggingface_hub import hf_hub_download
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- from keras.preprocessing.text import Tokenizer
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- from keras.preprocessing.sequence import pad_sequences
 
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  from sklearn.preprocessing import LabelEncoder, StandardScaler
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  from nltk.sentiment.vader import SentimentIntensityAnalyzer
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  import nltk
@@ -13,7 +14,7 @@ import nltk
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  nltk.download('vader_lexicon')
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  # Load the model from Hugging Face
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- model_path = hf_hub_download(repo_id="your-username/your-model-repo", filename="my_model.h5")
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  model = load_model(model_path)
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  # Initialize Tokenizer and LabelEncoders
 
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  import pandas as pd
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  from keras.models import load_model
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  from huggingface_hub import hf_hub_download
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+ from tensorflow.keras.preprocessing.text import Tokenizer
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+ from tensorflow.keras.preprocessing.sequence import pad_sequences
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+ from tensorflow.keras.models import Sequential
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  from sklearn.preprocessing import LabelEncoder, StandardScaler
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  from nltk.sentiment.vader import SentimentIntensityAnalyzer
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  import nltk
 
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  nltk.download('vader_lexicon')
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  # Load the model from Hugging Face
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+ model_path = hf_hub_download(repo_id="xeroISB/ServiceNowMTTR", filename="my_model.h5")
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  model = load_model(model_path)
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  # Initialize Tokenizer and LabelEncoders