Upload 2 files

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+index.json filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,35 @@
+from gpt_index import Document, SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
+from langchain import OpenAI
+import openai
+import gradio as gr
+import sys
+import os
+
+openai.api_key = "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"
+
+### This is the code for the chatbot interface ###
+### INSTRUCTIONS: ###
+### 1. Run this file in the terminal: python3 llamaTest.py ###
+### 2. Copy the link that appears in the terminal and paste it into your browser
+#   there will be 2 links - one local and one global, you can use either ###
+
+
+
+def chatbot(input_text):
+    """
+    Chatbot function that takes in a prompt and returns a response
+    """
+    index = GPTSimpleVectorIndex.load_from_disk('index.json')
+    response = index.query(input_text, response_mode="compact")
+    return response.response
+
+
+iface = gr.Interface(fn=chatbot,
+                     inputs=gr.inputs.Textbox(lines=7, label="Insert prompt"),
+                     outputs="text",
+                     title="Custom-index GPT-3 model")
+
+
+
+index = GPTSimpleVectorIndex.load_from_disk('index.json')
+iface.launch(share=True)

index.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a42bea68b927b7820a4abd373d3e51ee78e18176e434505626b84628252b3b6
+size 25269467