Updating App and Requirements

.chainlit/config.toml

@@ -1,78 +0,0 @@
-[project]
-# Whether to enable telemetry (default: true). No personal data is collected.
-enable_telemetry = true
-
-# List of environment variables to be provided by each user to use the app.
-user_env = []
-
-# Duration (in seconds) during which the session is saved when the connection is lost
-session_timeout = 3600
-
-# Enable third parties caching (e.g LangChain cache)
-cache = false
-
-# Follow symlink for asset mount (see https://github.com/Chainlit/chainlit/issues/317)
-# follow_symlink = false
-
-[features]
-# Show the prompt playground
-prompt_playground = true
-
-# Authorize users to upload files with messages
-multi_modal = true
-
-# Allows user to use speech to text
-[features.speech_to_text]
-    enabled = false
-    # See all languages here https://github.com/JamesBrill/react-speech-recognition/blob/HEAD/docs/API.md#language-string
-    # language = "en-US"
-
-[UI]
-# Name of the app and chatbot.
-name = "Chatbot"
-
-# Show the readme while the conversation is empty.
-show_readme_as_default = true
-
-# Description of the app and chatbot. This is used for HTML tags.
-# description = ""
-
-# Large size content are by default collapsed for a cleaner ui
-default_collapse_content = true
-
-# The default value for the expand messages settings.
-default_expand_messages = false
-
-# Hide the chain of thought details from the user in the UI.
-hide_cot = false
-
-# Link to your github repo. This will add a github button in the UI's header.
-# github = ""
-
-# Specify a CSS file that can be used to customize the user interface.
-# The CSS file can be served from the public directory or via an external link.
-# custom_css = "/public/test.css"
-
-# Override default MUI light theme. (Check theme.ts)
-[UI.theme.light]
-    #background = "#FAFAFA"
-    #paper = "#FFFFFF"
-
-    [UI.theme.light.primary]
-        #main = "#F80061"
-        #dark = "#980039"
-        #light = "#FFE7EB"
-
-# Override default MUI dark theme. (Check theme.ts)
-[UI.theme.dark]
-    #background = "#FAFAFA"
-    #paper = "#FFFFFF"
-
-    [UI.theme.dark.primary]
-        #main = "#F80061"
-        #dark = "#980039"
-        #light = "#FFE7EB"
-
-
-[meta]
-generated_by = "0.7.400"

.env

@@ -1 +0,0 @@
-OPENAI_API_KEY=sk-###

.env.sample

@@ -0,0 +1 @@
+OPENAI_API_KEY=###

app.py

@@ -1,19 +1,14 @@
 # You can find this code for Chainlit python streaming here (https://docs.chainlit.io/concepts/streaming/python)
 
 # OpenAI Chat completion
-
-import openai  # importing openai for API usage
+import os
+from openai import AsyncOpenAI  # importing openai for API usage
 import chainlit as cl  # importing chainlit for our app
-from chainlit.input_widget import (
-    Select,
-    Switch,
-    Slider,
-)  # importing chainlit settings selection tools
 from chainlit.prompt import Prompt, PromptMessage  # importing prompt tools
 from chainlit.playground.providers import ChatOpenAI  # importing ChatOpenAI tools
+from dotenv import load_dotenv
 
-# You only need the api key inserted here if it's not in your .env file
-# openai.api_key = "YOUR_API_KEY"
+load_dotenv()
 
 # ChatOpenAI Templates
 system_template = """You are a helpful assistant who always speaks in a pleasant tone!
@@ -39,9 +34,13 @@ async def start_chat():
 
 
 @cl.on_message  # marks a function that should be run each time the chatbot receives a message from a user
-async def main(message):
+async def main(message: cl.Message):
     settings = cl.user_session.get("settings")
 
+    client = AsyncOpenAI()
+
+    print(message.content)
+
     prompt = Prompt(
         provider=ChatOpenAI.id,
         messages=[
@@ -65,10 +64,12 @@ async def main(message):
     msg = cl.Message(content="")
 
     # Call OpenAI
-    async for stream_resp in await openai.ChatCompletion.acreate(
+    async for stream_resp in await client.chat.completions.create(
         messages=[m.to_openai() for m in prompt.messages], stream=True, **settings
     ):
-        token = stream_resp.choices[0]["delta"].get("content", "")
+        token = stream_resp.choices[0].delta.content
+        if not token:
+            token = ""
         await msg.stream_token(token)
 
     # Update the prompt object with the completion

requirements.txt

@@ -1,2 +1,5 @@
-chainlit
-openai
+chainlit==0.7.700
+cohere==4.37
+openai==1.3.5
+tiktoken==0.5.1
+python-dotenv==1.0.0