huggingchat doesn't work

[prehcp]

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• [ ] Yes, but the solution not work for me
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• [ ] Python >= 3.8
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Describe the bug A clear and concise description of what the bug is.

python autogpt.py Select the model you want to use (1, 2, 3 or 4) 1) ChatGPT 2) HuggingChat 3) BingChat 4) Google Bard 5) HuggingFace

2 Enter the objective of the AI system: (Be realistic!) how to learn AI Traceback (most recent call last): File "C:\chat\Auto-GPT1\autogpt.py", line 314, in agent.run([input("Enter the objective of the AI system: (Be realistic!) ")]) File "C:\Python311\Lib\site-packages\langchain\experimental\autonomous_agents\autogpt\agent.py", line 91, in run assistant_reply = self.chain.run( ^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\chains\base.py", line 239, in run return self(kwargs, callbacks=callbacks)[self.output_keys[0]] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\chains\base.py", line 140, in call raise e File "C:\Python311\Lib\site-packages\langchain\chains\base.py", line 134, in call self._call(inputs, run_manager=run_manager) File "C:\Python311\Lib\site-packages\langchain\chains\llm.py", line 69, in _call response = self.generate([inputs], run_manager=run_manager) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\chains\llm.py", line 79, in generate return self.llm.generate_prompt( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 127, in generate_prompt return self.generate(prompt_strings, stop=stop, callbacks=callbacks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 176, in generate raise e File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 170, in generate self._generate(prompts, stop=stop, run_manager=run_manager) File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 379, in _generate else self._call(prompt, stop=stop) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\chat\Auto-GPT1\FreeLLM\HuggingChatAPI.py", line 36, in _call self.chatbot = hugchat.ChatBot(cookie_path=self.cookiepath) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\hugchat\hugchat.py", line 40, in init self.current_conversation = self.new_conversation() ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\hugchat\hugchat.py", line 101, in new_conversation self.accept_ethics_modal() File "C:\Python311\Lib\site-packages\hugchat\hugchat.py", line 92, in accept_ethics_modal raise Exception(f"Failed to accept ethics modal with status code {response.status_code}. {response.content.decode()}") Exception: Failed to accept ethics modal with status code 403. Non-JSON form requests need to have a referer

Screenshots If applicable, add screenshots to help explain your problem.

Additional context Add any other context about the problem here.

[prehcp]

after pip install hugchat --upgrade,

the error:

python autogpt.py Select the model you want to use (1, 2, 3 or 4) 1) ChatGPT 2) HuggingChat 3) BingChat 4) Google Bard 5) HuggingFace

2 Enter the objective of the AI system: (Be realistic!) how to learn AI Traceback (most recent call last): File "C:\chat\Auto-GPT1\autogpt.py", line 314, in agent.run([input("Enter the objective of the AI system: (Be realistic!) ")]) File "C:\Python311\Lib\site-packages\langchain\experimental\autonomous_agents\autogpt\agent.py", line 91, in run assistant_reply = self.chain.run( ^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\chains\base.py", line 239, in run return self(kwargs, callbacks=callbacks)[self.output_keys[0]] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\chains\base.py", line 140, in call raise e File "C:\Python311\Lib\site-packages\langchain\chains\base.py", line 134, in call self._call(inputs, run_manager=run_manager) File "C:\Python311\Lib\site-packages\langchain\chains\llm.py", line 69, in _call response = self.generate([inputs], run_manager=run_manager) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\chains\llm.py", line 79, in generate return self.llm.generate_prompt( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 127, in generate_prompt return self.generate(prompt_strings, stop=stop, callbacks=callbacks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 176, in generate raise e File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 170, in generate self._generate(prompts, stop=stop, run_manager=run_manager) File "C:\Python311\Lib\site-packages\langchain\llms\base.py", line 379, in _generate else self._call(prompt, stop=stop) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\chat\Auto-GPT1\FreeLLM\HuggingChatAPI.py", line 42, in _call data = self.chatbot.chat(prompt, temperature=0.5, stream=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\site-packages\hugchat\hugchat.py", line 217, in chat obj = json.loads(res[1:-1]) ^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\json__init__.py", line 346, in loads return _default_decoder.decode(s) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\json\decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python311\Lib\json\decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

[IntelligenzaArtificiale]

This bug has already been reported to the hugchat library. Unfortunately when the output response is long there are problems in returning it.

We are working on trying to fix the problem.

[prehcp]

This bug has already been reported to the hugchat library. Unfortunately when the output response is long there are problems in returning it.

We are working on trying to fix the problem.

Hi, thanks for your reply! It works now.

By the way, is it possible to use free-auto-gpt on local AI models, such as oobabooga/text-generation-webui? That will be more productive and easier to use.

[IntelligenzaArtificiale]

For the moment we have not found any local models that have the performance of GPT or similar. So it would be pointless work to integrate these local models.

This is because people having trouble copying a cookie imagine having to spend a few minutes configuring their pc to run a local LLM. And if they succeed then they complain about poor performance.

[prehcp]

oobabooga/text-generation-webui is easy to install local LLM. It can download any model from huggingface.co directly. It will be very helpful to use autogpt on it.