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IntelligenzaArtificiale / Free-Auto-GPT

Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone.
MIT License
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Failed to parse response #133

Closed manishag1988 closed 1 year ago

manishag1988 commented 1 year ago
⚠️INSTRUCTIONS: - Enter ONE "x" inside the brackets [x] to choose the answer - [x] Example - [ ] Example2

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Describe the bug A clear and concise description of what the bug is. Hi, No matter how many times I try, I always end up getting the error:

ChatError: Failed to parse response: <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> Traceback: File "d:\Free AutoGPT\.venv\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 552, in _run_script exec(code, module.__dict__) File "D:\Free AutoGPT\Camel.py", line 238, in <module> user_ai_msg = user_agent.step(assistant_msg) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Free AutoGPT\Camel.py", line 67, in step output_message = self.model(str(input_message.content)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "d:\Free AutoGPT\.venv\Lib\site-packages\langchain\llms\base.py", line 310, in __call__ self.generate([prompt], stop=stop, callbacks=callbacks) File "d:\Free AutoGPT\.venv\Lib\site-packages\langchain\llms\base.py", line 192, in generate raise e File "d:\Free AutoGPT\.venv\Lib\site-packages\langchain\llms\base.py", line 186, in generate self._generate(prompts, stop=stop, run_manager=run_manager) File "d:\Free AutoGPT\.venv\Lib\site-packages\langchain\llms\base.py", line 451, in _generate else self._call(prompt, stop=stop) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Free AutoGPT\FreeLLM\HuggingChatAPI.py", line 42, in _call data = self.chatbot.chat(prompt, temperature=0.5, stream=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "d:\Free AutoGPT\.venv\Lib\site-packages\hugchat\hugchat.py", line 267, in chat raise ChatError(f"Failed to parse response: {res}")

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IntelligenzaArtificiale commented 1 year ago

unfortunately this problem is because LLm models don't return the output as expected. It is normal at the moment, in the next updates we will fix this too.