So I ran this in git bash for windows and it didn't help.

Also, when I run the development side, I get this..

https://nextjs.org/docs/messages/module-not-found

Import trace for requested module:
./components/RightSidebar.js
./pages/index.js

• wait compiling /_error (client and server)...
• error ./components/ContextManager.js:3:0
  Module not found: Can't resolve '@lib/requests/history'
  1 | import { toast } from "react-toastify";
  2 |

3 | import { clearChatHistory } from "@lib/requests/history";
4 | import { ingestData } from "@/lib/requests/documents";
5 |
6 | export default function ModelSelector() {

https://nextjs.org/docs/messages/module-not-found

Import trace for requested module:
./components/RightSidebar.js
./pages/index.js

Manage knowledge database by files

Hello All ,

I am seeing below error when i run the python file. can anyone please share the next resolution steps for this ?

Error -
File "/usr/local/Cellar/[email protected]/3.11.3/Frameworks/Python.framework/Versions/3.11/lib/python3.11/shutil.py", line 559, in copytree
with os.scandir(src) as itr:
^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/Users/FBT/Desktop/Projects/pautobot/pautobot/pautobot/frontend-dist'

I'd love to be able to upload a set of documents that are persistent. As is I need to clear the documents to ask questions about another one. This could be solved by have sets that could be switched between.

Right now, I can only upload one file at a time.. To be more technical, I can set up a batch upload, but I have to select each file. What would be helpful is to recurse through directories and perhaps select multiple files in the upload file window. That would allow me to select a batch of files to be uploaded and leave it running overnight to digest them all.

Hello,

I am a bit of a computer newbie, but this project inspired me so much that I downloaded Python for the first time to try and build my own little GPT bot :-)

I got it up and running on a commercial laptop (2ghz/16gb). So far so good.

However, I trained it on 90 pdf files, which was too much for it given the spec of my PC. So I wanted to restart everything. That meant I closed down python, and restarted it. On startup, the PAutoBot starts ingesting everything allover - "Note: The bot is currently ingesting data. Please wait until it finishes".

This means I can even reduce the number of articles to e.g. 5 just to try it. So that means that eventhough I have it installed, I have not been able to actually run a single search yet.

Please help me, how do I reset the bot so I can try it properly?

Hi there,

thanks for the project. I ran into an issue while connection to the website within my network. So I have a headless server running the code and open 192.168.2.10:5678 on another computer. Website looks good. But I get error messages with every click afterwords.
The terminal on the server say's:

Starting PautoBot...
Version: 0.0.18
Found model file at /home/meiko/pautobot-data/models/ggml-gpt4all-j-v1.3-groovy.bin
gptj_model_load: loading model from '/home/meiko/pautobot-data/models/ggml-gpt4all-j-v1.3-groovy.bin' - please wait ...
gptj_model_load: n_vocab = 50400
gptj_model_load: n_ctx = 2048
gptj_model_load: n_embd = 4096
gptj_model_load: n_head = 16
gptj_model_load: n_layer = 28
gptj_model_load: n_rot = 64
gptj_model_load: f16 = 2
gptj_model_load: ggml ctx size = 5401.45 MB
gptj_model_load: kv self size = 896.00 MB
gptj_model_load: ................................... done
gptj_model_load: model size = 3609.38 MB / num tensors = 285
Creating new vectorstore
Loading documents from /home/meiko/pautobot-data/contexts/default/documents
Loading new documents: 0it [00:00, ?it/s]
No new documents to load
No new documents to load
INFO: Started server process [536575]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:5678 (Press CTRL+C to quit)
INFO: 192.168.2.48:51870 - "GET / HTTP/1.1" 304 Not Modified
INFO: 192.168.2.48:51870 - "GET /_next/static/U0WT1P6WMnAqx-4T8sG3z/_buildManifest.js HTTP/1.1" 404 Not Found
INFO: 192.168.2.48:51871 - "GET /_next/static/U0WT1P6WMnAqx-4T8sG3z/_ssgManifest.js HTTP/1.1" 404 Not Found
INFO: 192.168.2.48:51873 - "POST /api/ask HTTP/1.1" 405 Method Not Allowed

Any hints?
Thanks!

The project uses 1.13.3, so can't install with pip as it gives

ImportError: cannot import name 'formatargspec' from 'inspect'

This feature will be used for file processing later.

• Architect the plugin query structure.
• Write a simple plugin for image conversion. For example, converting from .png to .jpg.
• Support parameters (compression rate).
• Support batch conversion (in a folder, from .zip file).

• User clicks "Ingest Data" or triggering.
• A background task is created to run the task.
• User can see the progress in the UI.

When I try to upload documents and click Ingest Data this exception pops up.

RuntimeError: Failed to import transformers.models.bert.modeling_bert because of the following error (look up to see its traceback):
cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_' (C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\urllib3\util\ssl_.py)

As this is yet to support GPTQ models, maybe you can extend the functionality by adding api support of textgen webui? Textgen Webui can load GPTQ model and can expose API

Can you provide a progress bar for thinking if possible? Can you also provide a way to stop thinking to start a new question/request?

1. Find out which LLM models LangChain supports, and add them to PautoBot. LangChain is the library used to run LLM and search docs. Recommended names: Vicuna, GPT4All, Falcon, MPT...
2. Write code for it to download the model. You need to find a place to save models (eg, hugging faces) and write code to download and load models. Check the file's hash after the download is complete. Pay attention to the stability of the download, monitor % downloaded, and save multiple download links to change automatically.
3. Write code to manage the models downloaded, and loaded into the bot.
4. Write APIs for users to call to download files, monitor the download process, ...

Hello, sorry for the fact I couldn't find the solution in issues and if the question is dumb, but looking for the answer and trying by myself didn't give the result.

Details:
The problem is I have low-end PC which is capable of running Alpaca and Vicuna (both 7B), but quite slowly. On the other hand, trying different models I saw that models under 1B parameters run quite well. Mainly they are based on Flan-T5. They give good results as for my machine and quickly enough (about 3-5 tokens per second). Using it with text is another better point. For example, asking it "basing on this text, answer -..." I have almost perfect answer. But giving it text each time is bad practice as for me. I mean, time spend etc.

Short question:
Is there any way to use this tool with any of these models?

LaMini-Flan-T5-783M
Flan-T5-Alpaca (770M or something)
RWKV (under 1.5B)
(any other good small models, under 1B parameters)
If you give the detailed manual I will be very grateful! Solutions, other than pautobot, privateGPT etc. are also welcome!

Thank you for understanding, answers and sorry for any inconvenience!

• Find API options. Write Python functions to get the weather from the location using API.
• Parse a sentence to find the location and query weather:

How's the weather in Hanoi today?  => "Hanoi"  => Cloudy, 38oC.

• Write regular expression(s) to recognize the weather query sentences.

Does it work with other languages than English? If not, how may I adapt it?

Thank you!

After successfully ingesting or deleting a document, the web front end becomes unresponsive.

Loading new documents: 0it [00:00, ?it/s]
INFO:     Shutting down
INFO:     Waiting for application shutdown.
INFO:     Application shutdown complete.
INFO:     Finished server process [36056]

Ctrl+C does not kill the program either. I am accessing the front end from another computer using the -ip 0.0.0.0 option.

The following are snippets of one error: "metadata-generation-failed"

I'm not a coder. Please let me know if you require more info and if it can be resolved.

Thanks