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