Adding Application Files

Dockerfile

@@ -0,0 +1,11 @@
+FROM python:3.9
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+WORKDIR $HOME/app
+COPY --chown=user . $HOME/app
+COPY ./requirements.txt ~/app/requirements.txt
+RUN pip install -r requirements.txt
+COPY . .
+CMD ["chainlit", "run", "app.py", "--port", "7860"]

app.py

@@ -0,0 +1,75 @@
+# OpenAI Chat completion
+import os
+import openai
+import chainlit as cl
+from chainlit.prompt import Prompt, PromptMessage
+from chainlit.playground.providers import ChatOpenAI
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# ChatOpenAI Templates
+system_template = """You are a highly analytical assistant who has in-depth knowledge of science! 
+"""
+
+user_template = """{input}
+Think through your response step by step.
+Be concise in your responses
+Do not make up stuff. If you don't know something, let the user know.
+"""
+
+@cl.on_chat_start
+async def start_chat():
+    settings = {
+        "model": "gpt-3.5-turbo",
+        "temperature": 0.7,  # Adjust to a valid range
+        "max_tokens": 500,
+        "top_p": 1,
+        "frequency_penalty": 0,
+        "presence_penalty": 0,
+    }
+    cl.user_session.set("settings", settings)
+
+@cl.on_message
+async def main(message: cl.Message):
+    settings = cl.user_session.get("settings")
+
+    # Set up the OpenAI client with the API key
+    openai.api_key = os.getenv("OPENAI_API_KEY")
+
+    prompt = Prompt(
+        provider=ChatOpenAI.id,
+        messages=[
+            PromptMessage(
+                role="system",
+                template=system_template,
+                formatted=system_template,
+            ),
+            PromptMessage(
+                role="user",
+                template=user_template,
+                formatted=user_template.format(input=message.content),
+            ),
+        ],
+        inputs={"input": message.content},
+        settings=settings,
+    )
+
+    msg = cl.Message(content="")
+
+    # Call OpenAI and stream response
+    async for stream_resp in await openai.ChatCompletion.acreate(
+        model=settings['model'],
+        messages=[m.to_openai() for m in prompt.messages],
+        stream=True,
+        **settings
+    ):
+        token = stream_resp.choices[0].delta.get("content", "")
+        await msg.stream_token(token)
+
+    # Update the prompt object with the completion
+    prompt.completion = msg.content
+    msg.prompt = prompt
+
+    # Send and close the message stream
+    await msg.send()

chainlit.md

@@ -0,0 +1,2 @@
+#ScienceGPT
+I am your ScienceGPT

requirements.txt

@@ -0,0 +1,5 @@
+chainlit==0.7.700
+cohere==4.37
+openai==1.3.5
+tiktoken==0.5.1
+python-dotenv==1.0.0