below code is not able to show grpahs at frontend , rather it returns code ,

[astro-siddhesh]

import pandas as pd
import streamlit as st
from langchain.chat_models import ChatOpenAI
from langchain.agents.agent_toolkits import create_pandas_dataframe_agent
from langchain.agents.agent_types import AgentType

df = pd.read_csv('/Users/siddheshphapale/Desktop/project/sqlcsv.csv')

llm = ChatOpenAI(openai_api_key= "my key" , temperature=0 ,max_tokens= 500 , verbose= False)
agent = create_pandas_dataframe_agent(llm, df, agent_type=AgentType.OPENAI_FUNCTIONS)

from langsmith import Client
client = Client()
def send_feedback(run_id, score):
client.create_feedback(run_id, "user_score", score=score)

st.set_page_config(page_title='🦜🔗 Ask the CSV App')
st.title('🦜🔗 Ask the CSV App')
query_text = st.text_input('Enter your question:', placeholder = 'Who was in cabin C128?')

Form input and query

result = None
with st.form('myform', clear_on_submit=True):
submitted = st.form_submit_button('Submit')
if submitted:
with st.spinner('Calculating...'):
response = agent({"input": query_text}, include_run_info=True)
result = response["output"]
run_id = response["__run"].run_id
if result is not None:
st.info(result)
col_blank, col_text, col1, col2 = st.columns([10, 2,1,1])
with col_text:
st.text("Feedback:")
with col1:
st.button("👍", on_click=send_feedback, args=(run_id, 1))
with col2:
st.button("👎", on_click=send_feedback, args=(run_id, 0))

[dosubot[bot]]

🤖

Hello,

From the code you've shared, it seems like you're trying to display a graph on the frontend, but the code is not designed to do that. The LangChain framework, as far as I can see from the repository, does not provide built-in methods for displaying graphs in a frontend application.

The draw_graphviz function in the NetworkxEntityGraph class is designed to generate a graph and save it as a file, but it does not return any data that could be used to display the graph in a frontend application. Here is the relevant code:

def draw_graphviz(self, **kwargs: Any) -> None:
    from networkx.drawing.nx_agraph import to_agraph

    try:
        import pygraphviz  # noqa: F401
    except ImportError as e:
        # error handling code omitted for brevity

    graph = to_agraph(self._graph)  # --> pygraphviz.agraph.AGraph
    graph.layout(prog=kwargs.get("prog", "dot"))
    graph.draw(kwargs.get("path", "graph.svg"))

To display the graph on the frontend, you would need to modify this function to return a reference to the file, or to return the graph data in a format that can be used by a frontend application.

Also, I noticed you've included an image in your message. Unfortunately, I'm unable to view images. If the image contains relevant information or code, could you please provide that information in text format?

Let me know if you need further assistance.

Sources

• libs/langchain/langchain/graphs/networkx_graph.py

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