Update app.py

app.py

@@ -1,3 +1,4 @@
+from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
 from langchain.chat_models import ChatOpenAI
 import gradio as gr
 import sys
@@ -5,6 +6,24 @@ import os
 
 os.environ["OPENAI_API_KEY"] = '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'
 
+def construct_index(directory_path):
+    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-4", max_tokens=num_outputs))
+
+    documents = SimpleDirectoryReader(directory_path).load_data()
+
+    index = GPTSimpleVectorIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+    index.save_to_disk('index.json')
+
+    return index
+
 def chatbot(input_text):
     index = GPTSimpleVectorIndex.load_from_disk('index.json')
     response = index.query(input_text, response_mode="compact")
@@ -15,4 +34,5 @@ iface = gr.Interface(fn=chatbot,
                      outputs="text",
                      title="Custom-trained AI Chatbot")
 
+index = construct_index("docs")
 iface.launch()