curiousily / get-things-done-with-prompt-engineering-and-langchain Goto Github PK

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
transformers 4.33.2 requires tokenizers!=0.11.3,<0.14,>=0.11.1, but you have tokenizers 0.14.0 which is incompatible.

images = convert_from_path("ms-financial-statement.pdf", dpi=88)
len(images)

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/pdf2image/pdf2image.py](https://localhost:8080/#) in pdfinfo_from_path(pdf_path, userpw, ownerpw, poppler_path, rawdates, timeout)
    567             env["LD_LIBRARY_PATH"] = poppler_path + ":" + env.get("LD_LIBRARY_PATH", "")
--> 568         proc = Popen(command, env=env, stdout=PIPE, stderr=PIPE)
    569 

4 frames
FileNotFoundError: [Errno 2] No such file or directory: 'pdfinfo'

During handling of the above exception, another exception occurred:

PDFInfoNotInstalledError                  Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/pdf2image/pdf2image.py](https://localhost:8080/#) in pdfinfo_from_path(pdf_path, userpw, ownerpw, poppler_path, rawdates, timeout)
    592 
    593     except OSError:
--> 594         raise PDFInfoNotInstalledError(
    595             "Unable to get page count. Is poppler installed and in PATH?"
    596         )

PDFInfoNotInstalledError: Unable to get page count. Is poppler installed and in PATH?

gpt4_agent = create_pandas_dataframe_agent(
    ChatOpenAI(temperature=0,
               openai_api_key=OPENAI_API_KEY,
               model_name = 'gpt-4'),[sub_listing_df,company_df], verbose=True
)

display(Markdown(gpt4_agent.agent.llm_chain.prompt.template))
----------------------
You are working with {num_dfs} pandas dataframes in Python named df1, df2, etc. You should use the tools below to answer the question posed of you:

python_repl_ast: A Python shell. Use this to execute python commands. Input should be a valid python command. When using this tool, sometimes output is abbreviated - make sure it does not look abbreviated before using it in your answer.

Use the following format:

Question: the input question you must answer Thought: you should always think about what to do Action: the action to take, should be one of [python_repl_ast] Action Input: the input to the action Observation: the result of the action ... (this Thought/Action/Action Input/Observation can repeat N times) Thought: I now know the final answer Final Answer: the final answer to the original input question

This is the result of print(df.head()) for each dataframe: {dfs_head}

Begin! Question: {input} {agent_scratchpad}