replaced with Streamlit.

app.py

@@ -4,6 +4,7 @@ from langchain.text_splitter import CharacterTextSplitter
 from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
 import os
+import streamlit as st
 
 with open("guide1.txt") as f:
     hitchhikersguide = f.read()
@@ -21,16 +22,12 @@ def make_inference(query):
     docs = docsearch.get_relevant_documents(query)
     return(chain.run(input_documents=docs, question=query))
 
-if __name__ == "__main__":
-    # make a gradio interface
-    import gradio as gr
-
-    gr.Interface(
-        make_inference,
-        [
-            gr.inputs.Textbox(lines=2, label="Query"),
-        ],
-        gr.outputs.Textbox(label="Response"),
-        title="🗣️TalkToMyDoc📄",
-        description="🗣️TalkToMyDoc📄 is a tool that allows you to ask questions about a document. In this case - Hitch Hitchhiker's Guide to the Galaxy.",
-    ).launch()
+
+# Title of the web application
+st.title('🗣️TalkToMyDoc📄')
+
+# Text input widget
+user_input = st.text_input('Enter a query:', '')
+
+# Displaying output directly below the input field
+st.write('Answer:', make_inference(user_input))