Update app.py

app.py

@@ -1,28 +1,4 @@
-pip install diffusers transformers torch numpy scipy gradio datasets
-pip3 install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio===0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
-
-import torch
-from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
-import numpy as np
-from scipy.special import softmax
 import gradio as gr
-torch.cuda.is_available()
-
-model_path = "cardiffnlp/twitter-roberta-base-sentiment-latest"
-
-tokenizer = AutoTokenizer.from_pretrained(model_path)
-config = AutoConfig.from_pretrained(model_path)
-model = AutoModelForSequenceClassification.from_pretrained(model_path)
-
-
-def sentiment_analysis(text):
-    encoded_input = tokenizer(text, return_tensors='pt')
-    output = model(**encoded_input)
-    scores_ = output[0][0].detach().numpy()
-    scores_ = softmax(scores_)
-    labels = ['Negative', 'Neutral', 'Positive']
-    scores = {l: float(s) for (l, s) in zip(labels, scores_)}
-    return scores
 
 demo = gr.Interface(
     theme=gr.themes.Base(),