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import streamlit as st
from langchain.agents import create_pandas_dataframe_agent
from langchain.chat_models import ChatOpenAI
from langchain.agents.agent_types import AgentType
from langchain.chat_models.azure_openai import AzureChatOpenAI
import pandas as pd
form = st.sidebar.form(key='my_form')
user_api_key = form.text_input(
label="#### Your OpenAI API key 👇",
placeholder="Paste your openAI API key, sk-",
type="password")
uploaded_file = form.file_uploader("Choose a file")
text_prompt = form.text_area('Text Prompt', value='Hello, how are you?')
submit_button = form.form_submit_button(label='Submit')
if submit_button :
df = pd.read_csv(uploaded_file)
st.title("OpenAI Chatbot 🤖"
)
st.subheader("This is a simple chatbot that uses OpenAI's GPT-3 model to generate responses to your text prompt. ")
st.subheader("Your data:")
st.write(df)
#horizontal line
st.markdown("""---""")
st.subheader("AI generated response:")
chat_model = AzureChatOpenAI(
deployment_name="chatgpt-4-32k",
openai_api_version="2023-03-15-preview",
openai_api_type="azure",
openai_api_base="https://api.hku.hk",
openai_api_key="",
)
agent = create_pandas_dataframe_agent(
llm=chat_model,
df=df,
verbose=True,
max_tokens_limit=2048,
handle_parsing_errors="Check your output and make sure it conforms!",
)
result = agent.run(text_prompt)
st.write(result)
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