added first example

.vscode/settings.json

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+{
+    "wcaForGP.enable": true
+}

app.py

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+import streamlit as st
+
+st.title('🤗 Transformers Library examples')
+st.divider() 
+st.write("Sentiment Analysis")
+st.write("'Zero-shot classification")
+st.write("Text Generation")
+st.write("'Mask Filling")
+st.write("Named Entity Recognition")
+st.write("Question Answering")
+st.write("Translation")

pages/1_Sentiment_Analysis.py

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+import streamlit as st
+import time
+
+st.title('Sentiment Analysis')
+ 
+st.subheader("Example: Single statement analysis")
+with st.spinner('Wait for it...'):
+    time.sleep(5)
+
+from transformers import pipeline
+
+classifier = pipeline("sentiment-analysis")
+results = classifier("Transformers library is very helpful.")
+
+code = '''
+    from transformers import pipeline
+
+    classifier = pipeline("sentiment-analysis")
+    results = classifier("Transformers library is very helpful.")
+'''
+st.code(code, language='python')
+
+st.write("Output:")
+st.success(results)
+
+st.divider()
+
+st.subheader("Example: Multiple statements analysis")
+with st.spinner('Wait for it...'):
+    time.sleep(5)
+
+code = '''
+    from transformers import pipeline
+
+    classifier = pipeline("sentiment-analysis")
+    results = classifier([
+        "This is quick tutorial site.",
+        "I learnt new topics today.",
+        "I do not like lengthy tutorials."
+    ])
+'''
+st.code(code, language='python')
+
+results = classifier([
+    "This is quick tutorial site.",
+    "I learnt new topics today.",
+    "I do not like lengthy tutorials."
+])
+
+st.write("Output:")
+st.success(results)
+
+

pages/2_Zero-shot_Classification.py

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+import streamlit as st
+
+st.title('Zero-shot classification')
+ 

pages/3_Text_Generation.py

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+import streamlit as st
+
+st.title('Text Generation')
+ 

pages/4_Mask_filling.py

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+import streamlit as st
+
+st.title('Mask Filling')
+ 

pages/5_Named_Entity_Recognition.py

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+import streamlit as st
+
+st.title('Named Entity Recognition')
+

pages/6_Question_Answering.py

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+import streamlit as st
+
+st.title('Question Answering')
+

pages/7_Summarization.py

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+import streamlit as st
+
+st.title('Summarization')
+

pages/8_ Translation.py

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+import streamlit as st
+
+st.title('Translation')
+

requirements.txt

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+streamlit
+numpy
+pandas
+time