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app.py

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+from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
+import streamlit as st
+
+@st.cache
+def sentiment_analysis(inp):
+
+    model_name = 'distilbert-base-uncased-finetuned-sst-2-english'
+    model = AutoModelForSequenceClassification.from_pretrained(model_name)
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+    classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
+    res = classifier(inp)
+    return res
+
+def main():
+    user_input = st.text_input("Enter text here:")
+    st.write("You entered:", user_input)
+    res = sentiment_analysis(user_input)
+    print(res)
+    sentiment = res[0]['label']
+    conf = res[0]['score']
+    st.write("Sentiment of the input: ", sentiment)
+    st.write("Confidence of the predicted sentiment: ", conf)
+
+if __name__ == '__main__':
+    main()

requirements.txt

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+altair==4.2.2
+attrs==22.2.0
+blinker==1.6
+cachetools==5.3.0
+certifi==2022.12.7
+charset-normalizer==3.1.0
+click==8.1.3
+colorama==0.4.6
+decorator==5.1.1
+entrypoints==0.4
+filelock==3.11.0
+gitdb==4.0.10
+GitPython==3.1.31
+huggingface-hub==0.13.4
+idna==3.4
+importlib-metadata==6.2.0
+Jinja2==3.1.2
+jsonschema==4.17.3
+markdown-it-py==2.2.0
+MarkupSafe==2.1.2
+mdurl==0.1.2
+mpmath==1.3.0
+networkx==3.1
+numpy==1.24.2
+packaging==23.0
+pandas==1.5.3
+Pillow==9.5.0
+protobuf==3.20.3
+pyarrow==11.0.0
+pydeck==0.8.0
+Pygments==2.14.0
+Pympler==1.0.1
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+PyYAML==6.0
+regex==2023.3.23
+requests==2.28.2
+rich==13.3.3
+six==1.16.0
+smmap==5.0.0
+streamlit==1.21.0
+sympy==1.11.1
+tokenizers==0.13.3
+toml==0.10.2
+toolz==0.12.0
+torch==2.0.0
+torchaudio==2.0.1
+torchvision==0.15.1
+tornado==6.2
+tqdm==4.65.0
+transformers==4.27.4
+typing_extensions==4.5.0
+tzdata==2023.3
+tzlocal==4.3
+urllib3==1.26.15
+validators==0.20.0
+watchdog==3.0.0
+zipp==3.15.0