Create app.py

app.py

@@ -0,0 +1,25 @@
+from flask import Flask, jsonify, render_template, request, send_file
+from langchain import OpenAI
+from langchain.docstore.document import Document
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.chains.summarize import load_summarize_chain
+
+
+app = Flask(__name__)
+@app.route("/")
+def t5(txt):
+    # Instantiate the LLM model
+    llm = OpenAI(temperature=0, 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
+    chain = load_summarize_chain(llm, chain_type='map_reduce')
+    output =  chain.run(docs)
+
+    return jsonify({"output": output})
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)