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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 requests | |
| import random | |
| import openai | |
| import re | |
| import gradio as gr | |
| import os | |
| """# Space Implementation""" | |
| clerkieExamples=["how do I use langchain?", "How do I create an agent with custom LLMChain?"] | |
| def chat(message, history): | |
| print(message) | |
| history = history or [] | |
| # endpoint = os.environ.get("langchain_bot_api_endpoint") | |
| endpoint = "https://clerkie-langchain-server-bot.ishaan-jaff.repl.co/langchain_agent?user_query=" | |
| user_query = "https://clerkie-langchain-server-bot.ishaan-jaff.repl.co/langchain_agent?user_query=" + message | |
| print("user_query: ", user_query) | |
| response = requests.get(user_query).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() as demo: | |
| user_state=gr.State([]) | |
| gr.Markdown("""# Hi, I'm Clerkie 🤖""") | |
| gr.Markdown("""I can help you get started / answer any question you have about the [Langchain: Build AI apps with LLMs](https://github.com/hwchase17/langchain). If I fail to answer your question, please email me @ clerkieai@gmail.com, and I will make sure you get an answer within an hour.""") | |
| gr.Markdown("""### Want some help handling support questions for your open source project/devtool/etc.? Let me know 👉 [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. ➜ Join the [Discord](https://discord.gg/KvG3azf39U)""") | |
| gr.Examples(clerkieExamples, | |
| inputs=inp, | |
| cache_examples=False, | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(debug=True) | |