mbabazif commited on
Commit
acdfef5
1 Parent(s): 1c790d0

Gradio Aplication

Browse files
Files changed (1) hide show
  1. app.py +2 -9
app.py CHANGED
@@ -1,11 +1,5 @@
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- from transformers import AutoModelForSequenceClassification
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- from transformers import TFAutoModelForSequenceClassification
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- from transformers import AutoTokenizer, AutoConfig
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- import numpy as np
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  import gradio as gr
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-
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-
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-
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  # Specifying the model path, which points to the Hugging Face Model Hub
@@ -13,7 +7,6 @@ model_path = f'Mbabazi/cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023'
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  tokenizer = AutoTokenizer.from_pretrained(model_path)
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  model = AutoModelForSequenceClassification.from_pretrained(model_path)
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-
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  # Function to predict sentiment of a given tweet
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  def predict_tweet(tweet):
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  # Tokenize the input tweet using the specified tokenizer
@@ -47,6 +40,6 @@ iface = gr.Interface(
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  )
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- iface.launch()
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  # with gr.Blocks() as demo:
 
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+ from transformers import AutoTokenizer
 
 
 
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  import gradio as gr
 
 
 
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  # Specifying the model path, which points to the Hugging Face Model Hub
 
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  tokenizer = AutoTokenizer.from_pretrained(model_path)
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  model = AutoModelForSequenceClassification.from_pretrained(model_path)
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  # Function to predict sentiment of a given tweet
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  def predict_tweet(tweet):
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  # Tokenize the input tweet using the specified tokenizer
 
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  )
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+ iface.launch(share=True)
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  # with gr.Blocks() as demo: