Delete app.py

app.py

@@ -1,34 +0,0 @@
-from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
-from langchain.chat_models import ChatOpenAI
-import gradio as gr
-import sys
-import os
-
-"""
-Code from Beebom article: "How to Train an AI Chatbot With Custom Knowledge Base Using ChatGPT API" by Arjun Sha
-https://beebom.com/how-train-ai-chatbot-custom-knowledge-base-chatgpt-api/
-"""
-
-def construct_index():
-    max_input_size = 4096
-    num_outputs = 512
-    max_chunk_overlap = 20
-    chunk_size_limit = 600
-    prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
-    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.7, model_name="gpt-3.5-turbo-0613", max_tokens=num_outputs))
-    index = GPTSimpleVectorIndex.load_from_disk('index.json', llm_predictor=llm_predictor, prompt_helper=prompt_helper)
-
-    return index
-
-def chatbot(input_text):
-    index = GPTSimpleVectorIndex.load_from_disk('index.json')
-    response = index.query(input_text)
-    return response.response
-
-iface = gr.Interface(fn=chatbot,
-                     inputs=gr.components.Textbox(lines=7, label="Enter your text"),
-                     outputs="text",
-                     title="AI Chatbot for the Doing What Works Library")
-
-# index = construct_index()
-iface.launch(share=False)