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chatstream's Issues

How would you incorporate langchain with memory in chatstream?

As mentioned, I built something similar with python's streamlit chat + langchain + pdf loader. The memory for this application was made by adding it to streamlit session. Here is some of my code for the memory with streamlit chat:

   with st.sidebar.form(key="message_form", clear_on_submit=True):
        user_input = st.text_input("Type your message here...", value="", key="user_input")
        submit_button = st.form_submit_button("Send")    
    if submit_button:
        st.session_state.messages.append(HumanMessage(content=user_input))
        with st.spinner("Thinking..."): 
            response = chat(st.session_state.messages)
        st.session_state.messages.append(AIMessage(content=response.content))

If I wanted to use chatstream instead, how would I handle this?

Blank screens?

Hi folks,

I just wanted to start messing around with this, and I get blank screens for the UI component of chatstream (the part I'm interested in, I could live with or without the python). I've tried to replicate both the examples/basic/app.py, which shows only a blank screen, and the examples/controls/app.py, which shows only the right side panel of controls.

I downloaded via pip install chatstream@git+https://github.com/wch/chatstream.git into a virtual environment on Python 3.9.6, and worked with this on a Ubuntu 18.0 server.

My python libraries in the virtual environment:

              package  version               requirement
1             aiohttp    3.8.4            aiohttp==3.8.4
2           aiosignal    1.3.1          aiosignal==1.3.1
3               anyio    3.7.0              anyio==3.7.0
4             appdirs    1.4.4            appdirs==1.4.4
5             asgiref    3.7.2            asgiref==3.7.2
6       async-timeout    4.0.2      async-timeout==4.0.2
7               attrs   23.1.0             attrs==23.1.0
8             certifi 2023.5.7         certifi==2023.5.7
9  charset-normalizer    3.1.0 charset-normalizer==3.1.0
10              click    8.1.3              click==8.1.3
11        contextvars      2.4          contextvars==2.4
12     exceptiongroup    1.1.1     exceptiongroup==1.1.1
13         frozenlist    1.3.3         frozenlist==1.3.3
14                h11   0.14.0               h11==0.14.0
15          htmltools    0.2.1          htmltools==0.2.1
16               idna      3.4                 idna==3.4
17         immutables     0.19          immutables==0.19
18      linkify-it-py    2.0.2      linkify-it-py==2.0.2
19     markdown-it-py    2.2.0     markdown-it-py==2.2.0
20    mdit-py-plugins    0.3.5    mdit-py-plugins==0.3.5
21              mdurl    0.1.2              mdurl==0.1.2
22          multidict    6.0.4          multidict==6.0.4
23              numpy   1.24.3             numpy==1.24.3
24             openai   0.27.7            openai==0.27.7
25          packaging     23.1           packaging==23.1
26   python-multipart    0.0.6   python-multipart==0.0.6
27              regex 2023.5.5           regex==2023.5.5
28           requests   2.31.0          requests==2.31.0
29              shiny    0.3.3              shiny==0.3.3
30            sniffio    1.3.0            sniffio==1.3.0
31          starlette   0.27.0         starlette==0.27.0
32           tiktoken    0.4.0           tiktoken==0.4.0
33               tqdm   4.65.0              tqdm==4.65.0
34  typing_extensions    4.6.2  typing_extensions==4.6.2
35        uc-micro-py    1.0.2        uc-micro-py==1.0.2
36            urllib3    2.0.2            urllib3==2.0.2
37            uvicorn   0.22.0           uvicorn==0.22.0
38         websockets   11.0.3        websockets==11.0.3
39               yarl    1.9.2               yarl==1.9.2

Timeline for adding to pypi?

Do you think that chatstream will be added to pypi anytime in the near future, or is it still under heavy development and not yet ready for publishing to pypi?

doc_query just keeps asking how it can assist me?

I'm running the example doc_query Shiny app. I uploaded a PDF (a downloaded copy of the Framingham City Charter) to the app, and the app seemed to show that the file uploaded properly and was indexed. However, every time I ask a question, I just get "How can I assist you?" back from the app. I did export my OpenAI key. (The recipes example is working fine, though). I was hoping to mention this in an article I'm writing but want to get it working first!

[
  {
    "role": "user",
    "content": "What is the mayor's salary?"
  },
  {
    "role": "assistant",
    "content": "How can I assist you today?"
  },
  {
    "role": "user",
    "content": "What is the mayor's salary?"
  },
  {
    "role": "assistant",
    "content": "How can I assist you today?"
  },
  {
    "role": "user",
    "content": "What is a city councilor's salary?"
  },
  {
    "role": "assistant",
    "content": "How can I assist you today?"
  }
]

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