Update app.py

app.py

@@ -10,49 +10,4 @@ from transformers import AutoConfig
 from transformers import AutoModelForSequenceClassification
 from transformers import TFAutoModelForSequenceClassification
 from transformers import pipeline
-from scipy.special import softmax
-
-# Requirements
-model_path ="HOLYBOY/Sentiment_Analysis"
-tokenizer = AutoTokenizer.from_pretrained(model_path)
-config = AutoConfig.from_pretrained(model_path)
-model = AutoModelForSequenceClassification.from_pretrained(model_path)
-
-# Preprocess text (username and link placeholders)
-def preprocess(text):
-    new_text = []
-    for t in text.split(" "):
-        t = "@user" if t.startswith("@") and len(t) > 1 else t
-        t = "http" if t.startswith("http") else t
-        new_text.append(t)
-    return " ".join(new_text)
-
-# ---- Function to process the input and return prediction
-def sentiment_analysis(text):
-    text = preprocess(text)
-
-    encoded_input = tokenizer(text, return_tensors = "pt") # for PyTorch-based models
-    output = model(**encoded_input)
-    scores_ = output[0][0].detach().numpy()
-    scores_ = softmax(scores_)
-    
-    # Format output dict of scores
-    labels = ["Negative", "Neutral", "Positive"]
-    scores = {l:float(s) for (l,s) in zip(labels, scores_) }
-    
-    return scores
-
-# ---- Gradio app interface
-app = gr.Interface(fn = sentiment_analysis,
-                   inputs = gr.Textbox("Input your tweet to classify or use the example provided below..."),
-                   outputs = "label",
-                   title = "Public Perception of COVID-19 Vaccines",
-                   description  = "This app analyzes Perception of text based on tweets about COVID-19 Vaccines using a fine-tuned distilBERT model",
-                   interpretation = "default",
-                   examples = [["The idea of introducing the vaccine is good"],
-                               ["I am definately not taking the jab"], 
-                               ["The vaccine is bad and can cause serious health implications"], 
-                               ["I dont have any opinion "]]
-                   )
-
-app.launch(share =True)
+from scipy.special import softmax