Create text_summary.py

text_summary.py

@@ -0,0 +1,53 @@
+!pip install streamlit langchain
+import streamlit as st
+import openai
+from langchain.docstore.document import Document
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.chains.summarize import load_summarize_chain
+
+def generate_response(txt, openai_api_key):
+    try:
+        # Set up OpenAI API key
+        openai.api_key = openai_api_key
+
+        # Split text
+        text_splitter = CharacterTextSplitter()
+        texts = text_splitter.split_text(txt)
+
+        # Create multiple documents
+        docs = [Document(page_content=t) for t in texts]
+
+        # Text summarization using langchain's summarization chain
+        chain = load_summarize_chain(llm="openai", chain_type='map_reduce')
+        return chain.run(docs)
+    except Exception as e:
+        st.error(f"An error occurred during summarization: {str(e)}")
+        return None
+
+# Page title
+st.set_page_config(page_title='🦜🔗 Text Summarization App')
+st.title('🦜🔗 Text Summarization App')
+
+# Text input
+txt_input = st.text_area('Enter your text', '', height=200)
+
+# Form to accept user's text input for summarization
+response = None
+with st.form('summarize_form', clear_on_submit=True):
+    openai_api_key = st.text_input('OpenAI API Key', type='password', disabled=not txt_input)
+    submitted = st.form_submit_button('Submit')
+    if submitted and openai_api_key.startswith('sk-'):
+        with st.spinner('Calculating...'):
+            response = generate_response(txt_input, openai_api_key)
+
+if response:
+    st.info(response)
+
+# Instructions for getting an OpenAI API key
+st.subheader("Get an OpenAI API key")
+st.write("You can get your own OpenAI API key by following the instructions:")
+st.write("""
+1. Go to [OpenAI API Keys](https://platform.openai.com/account/api-keys).
+2. Click on the `+ Create new secret key` button.
+3. Next, enter an identifier name (optional) and click on the `Create secret key` button.
+""")