Spaces:
Sleeping
Sleeping
File size: 1,887 Bytes
0b090fd a2afe38 0b090fd 887ef85 a2afe38 0b090fd a2afe38 0b090fd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
import os
import gradio as gr
from groq import Groq
from notion_client import Client
groq_client = Groq(
api_key=os.environ.get("GROQ_API_KEY"),
)
notion_client = Client(auth=os.environ.get("NOTION_TOKEN"))
notion_database_id = "4fc0a081f0a84257879d6f7638e368b9"
def store_conversation(user_input, bot_response):
# Truncate bot_response if it exceeds 2000 characters
truncated_response = bot_response[:1997] + "..." if len(bot_response) > 2000 else bot_response
try:
notion_client.pages.create(
parent={"database_id": notion_database_id},
properties={
"User Input": {"title": [{"text": {"content": user_input}}]},
"Bot Response": {"rich_text": [{"text": {"content": truncated_response}}]}
}
)
print("Conversation stored successfully")
except Exception as e:
print(f"Error storing conversation: {str(e)}")
def chat_with_groq(user_input, additional_context=None):
chat_completion = groq_client.chat.completions.create(
messages=[
{
"role": "user",
"content": user_input,
}
],
model="llama-3.1-8b-instant",
)
bot_response = chat_completion.choices[0].message.content
store_conversation(user_input, bot_response)
return bot_response
demo = gr.ChatInterface(fn=chat_with_groq,
textbox=gr.Textbox(placeholder="Ask me any question"),
title="Hey NOPE", theme="Monochrome",
description="Welcome to the world of NOPE",
examples=["Need some content Idea", "Generate some Thumbnail Text"],
retry_btn=None,
undo_btn="Delete Previous",
clear_btn="Clear",)
if __name__ == "__main__":
demo.launch() |