Create app.py

app.py

@@ -0,0 +1,72 @@
+import streamlit as st 
+from transformers import pipeline
+
+st.title("NLP pipeling")
+
+def text_classificer():
+    text_classification = pipeline("text-classification", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
+    st.title("Text Classification")
+    
+    text=st.text_input("Enter the text :")
+    if st.button("Classife"):
+        output=text_classification(text)
+        st.write(output[0]["label"])
+
+def text_summarizer():
+    text_summary = pipeline("summarization", model="facebook/bart-large-cnn")
+    st.title("Text Summarizer")
+    
+    text=st.text_input("Enter the text")
+    if st.button("summarised"):
+        st.write(text_summary(text)[0]['summary_text'])
+        
+def text_generator():
+    text_generat= pipeline("text-generation") 
+    st.title("Text Generation")
+    
+    text=st.text_input("Enter the text")
+    if st.button("generate"):
+        result=text_generat(text)
+        st.write(result[0]["generated_text"])
+def name_enity():
+    name_enity=pipeline("ner")#, model="dbmdz/bert-large-cased-finetuned-conll03-english", grouped_entities=True)
+    st.title("Name Enity")
+    
+    text=st.text_input("Enter the text")
+    if st.button("submit"):
+        st.write(name_enity(text)[0]["word"])
+    
+def question_answer():
+    question_answering = pipeline("question-answering", model="google-bert/bert-large-uncased-whole-word-masking-finetuned-squad")
+    st.title("Question & Answers")
+    content=st.text_input("Enter the Content")
+    ques=st.text_input("Enter the Question ")
+    if st.button("submit"):
+        result=question_answering({"question": ques,"context": content})
+        st.write(result["answer"])
+        
+def code_generator():
+    st.title("Code Generator")
+    code_generation = pipeline("text-generation", model="Salesforce/codegen-350M-mono")
+    
+    text=st.text_input("Enter the text")
+    if st.button("submit"):
+        st.write(code_generation(text)[0]) #["generated_text"]
+    
+        
+file_type=st.sidebar.radio("Select a page:",('Text Classification',"Text Summarizer","Text Generator",'Name Enity','Question-Answer'))# Code Generator"
+
+if file_type=='Text Classification':
+    text_classificer()
+elif file_type=="Text Summarizer":
+    text_summarizer()
+elif file_type=="Text Generator":
+    text_generator()
+elif file_type=='Name Enity':
+    name_enity()
+elif file_type=='Question-Answer':
+    question_answer()
+# elif file_type=="Code Generator":
+#     code_generator()
+else:
+    st.write(file_type)