sunilkumardash9

from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.document_loaders import WebBaseLoader
from langchain_community.vectorstores import Chroma
from langchain_community.embeddings.sentence_transformer import SentenceTransformerEmbeddings
from typing import Annotated, Dict, TypedDict
from langchain_core.messages import BaseMessage

import json
import operator
from typing import Annotated, Sequence, TypedDict

sunilkumardash9

from typing import TypedDict, List
import colorama
import os

from langchain_openai import ChatOpenAI
from langchain_core.messages import SystemMessage
from langchain_core.messages import HumanMessage
from langchain_core.runnables import RunnableConfig

from langgraph.graph import StateGraph, END

sunilkumardash9

import gradio as gr
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import Chroma

from langchain.chains import ConversationalRetrievalChain
from langchain.chat_models import ChatOpenAI

from langchain.document_loaders import PyPDFLoader
import os

sunilkumardash9

import gradio as gr
def sketch_recognition(img):
    pass# Implement your sketch recognition model here...

gr.Interface(fn=sketch_recognition, inputs="sketchpad", outputs="label").launch()

sunilkumardash9

import gradio as gr
 
def greet(name):
    return"Hello " + name + "!"
    
with gr.Blocks() as demo: 
    name = gr.Textbox(label="Name") 
    output = gr.Textbox(label="Output Box") 
    greet_btn = gr.Button("Greet") 
    greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet") 

sunilkumardash9

#API_ENDPOINT = "https://api.openai.com/v1/chat/completions"

# Note: you need to be using OpenAI Python v0.27.0 for the code below to work
import openai

openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},

sunilkumardash9

{
 'id': 'chatcmpl-6p9XYPYSTTRi0xEviKjjilqrWU2Ve',
 'object': 'chat.completion',
 'created': 1677649420,
 'model': 'gpt-3.5-turbo',
 'usage': {'prompt_tokens': 56, 'completion_tokens': 31, 'total_tokens': 87},
 'choices': [
   {
    'message': {
      'role': 'assistant',

sunilkumardash9

 with gr.Row():   
      with gr.Column(scale=0.85):
          txt = gr.Textbox(
                show_label=False,
                placeholder="Enter text and press enter",
                ).style(container=False)

sunilkumardash9

with gr.Blocks() as demo:  
    radio = gr.Radio(value='gpt-3.5-turbo', choices=['gpt-3.5-turbo','gpt-4'], label='models')
    chatbot = gr.Chatbot(value=[], elem_id="chatbot").style(height=650)
    with gr.Row():
        with gr.Column(scale=0.70):
            txt = gr.Textbox(
                show_label=False,
                placeholder="Enter text and press enter, or upload an image",
            ).style(container=False) 

sunilkumardash9

with gr.Blocks() as demo:
    
    radio = gr.Radio(value='gpt-3.5-turbo', choices=['gpt-3.5-turbo','gpt-4'], label='models')
    chatbot = gr.Chatbot(value=[], elem_id="chatbot").style(height=650)
    with gr.Row():
    
        with gr.Column(scale=0.90):
            txt = gr.Textbox(
                show_label=False,
                placeholder="Enter text and press enter, or upload an image",