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from langchain import OpenAI, LLMChain | |
from langchain.agents import initialize_agent, Tool, ZeroShotAgent, AgentExecutor | |
from langchain.prompts import PromptTemplate | |
from langchain.prompts.few_shot import FewShotPromptTemplate | |
import gradio as gr | |
"""# Space Implementation""" | |
clerkieExamples=["how do I use langchain?", "How do I create an agent with custom LLMChain?"] | |
import requests | |
import random | |
import gradio as gr | |
import openai | |
import re | |
def chat(message, history): | |
print(message) | |
history = history or [] | |
endpoint = 'https://clerkie-langchain-server-bot.ishaan-jaff.repl.co/langchain_agent?user_query=' | |
response = requests.get(endpoint + message).json()["response"]["output"] | |
# split on code | |
split_string = response.split("Code") | |
explanation = split_string[0] | |
history.append((message, explanation)) | |
code_and_possible_links = "Code " + split_string[1] | |
if "Here is a list of documents that I viewed" in code_and_possible_links: | |
split_string = code_and_possible_links.split("Here") | |
code_sample = split_string[0] | |
history.append(("", code_sample)) | |
relevant_links = "Here " + split_string[1] | |
history.append(("", relevant_links)) | |
else: | |
history.append(("", code_and_possible_links)) | |
return history, history | |
def set_text(inp): | |
return inp | |
def clear(arg): | |
return "" | |
with gr.Blocks(css=".gradio-container {background-color: #0d1116;}") as demo: | |
user_state=gr.State([]) | |
gr.Markdown("""# Welcome to Clerkie LangChain π€""") | |
gr.Markdown("""Clerkie LangChain can answer questions about the langchain code repo""") | |
gr.Markdown("""### [clerkie.co](https://clerkie.co/)""") | |
with gr.Row(): | |
with gr.Column(): | |
output = gr.Chatbot().style(color_map=("orange", "green")) | |
inp = gr.Textbox(placeholder="Enter your question here") | |
print(type(inp)) | |
btn = gr.Button("Send") | |
inp.submit(chat, [inp, user_state], [output, user_state]) | |
inp.submit(clear, inp, inp) | |
btn.click(chat, [inp, user_state], [output, user_state]) | |
btn.click(clear, inp, inp) | |
gr.Markdown("""### need help? got feedback? have thoughts? etc. β Join the [Discord](https://discord.gg/KvG3azf39U)""") | |
gr.Examples(clerkieExamples, | |
inputs=inp, | |
cache_examples=False, | |
) | |
if __name__ == "__main__": | |
demo.launch(debug=True) |