Create hx_transformer_it1.py

This is the first raw file for the HyperXite transformer, model can be  fine tuned hereon and can use LangChain with a larger context window and data interactions.

hx_transformer_iteration_1.py

@@ -0,0 +1,87 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+import os
+import openai
+import tiktoken
+from dotenv import load_dotenv, find_dotenv
+import panel as pn
+_ = load_dotenv(find_dotenv()) # read local .env file
+
+openai.api_key  = os.environ['OPENAI_API_KEY']
+
+def get_completion(prompt, model="gpt-3.5-turbo"):
+    messages = [{"role": "user", "content": prompt}]
+    response = openai.ChatCompletion.create(
+        model=model,
+        messages=messages,
+        temperature=0, # this is the degree of randomness of the model's output 
+    )
+    return response.choices[0].message["content"]
+
+
+##################Test 1######################################
+response = get_completion("What is the capital of France?")
+print(response)
+##############################################################
+
+def get_completion_from_messages(messages, 
+                                 model="gpt-3.5-turbo", 
+                                 temperature=0, 
+                                 max_tokens=500):
+    response = openai.ChatCompletion.create(
+        model=model,
+        messages=messages,
+        temperature=temperature, # this is the degree of randomness of the model's output
+        max_tokens=max_tokens, # the maximum number of tokens the model can ouptut 
+    )
+    return response.choices[0].message["content"]
+
+
+
+##########################Test 2#############################
+messages =  [  
+{'role':'system', 
+ 'content':"""You are an assistant who\
+ responds in the style of Dr Seuss."""},    
+{'role':'user', 
+ 'content':"""write me a very short poem\
+ about a happy carrot"""},  
+] 
+response = get_completion_from_messages(messages, temperature=1)
+print(response)
+###############################################################
+
+
+
+pn.extension()
+
+panels = [] 
+
+context = [ {'role':'system', 'content':"""
+You are a chatbot designed to answer questions about the UCI HyperXite team. The UCI HyperXite team is building a\
+scalable hyperloop. Introduce yourself as a bot that will help the user know more about HyperXite. Provide concise answers. Tone: friendly\
+and resepctful. Keep it conversational.
+
+Introduce yourself as "Hi, do you have any questions about HyperXite?" Also list out a few questions the user could ask\
+Format the list properly.
+
+The team is using a linear induction motor for propulsion. The pod can be controlled from a custom Graphical User Interface\
+built by the team.
+
+"""} ]  # can be fine tuned further 
+
+
+inp = pn.widgets.TextInput(value="Hi", placeholder='Enter text here…')
+button_conversation = pn.widgets.Button(name="Chat!")
+
+interactive_conversation = pn.bind(collect_messages, button_conversation)
+
+dashboard = pn.Column(
+    inp,
+    pn.Row(button_conversation),
+    pn.panel(interactive_conversation, loading_indicator=True, height=300),
+)
+
+dashboard
+