OpenAI Authentication issue at demo site
ujshaikh opened this issue · comments
Describe the bug
I encountered an error in OpenAI authentication while checking this functionality on Demo.
To Reproduce
Steps to reproduce the behavior:
- Go to the Demo link from README
- Add all input values to the form
- click on the Run the Program button
Expected behavior
It should display the expected result as per the prompt.
Screenshots
File "/home/adminuser/venv/lib/python3.11/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 600, in _run_script exec(code, module.__dict__) File "/mount/src/scrapegraph-lablabai-hackathon/main.py", line 71, in <module> graph_result = task(key, link_to_scrape, prompt, model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mount/src/scrapegraph-lablabai-hackathon/task.py", line 42, in task result = smart_scraper_graph.run() ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/scrapegraphai/graphs/smart_scraper_graph.py", line 112, in run self.final_state, self.execution_info = self.graph.execute(inputs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/scrapegraphai/graphs/base_graph.py", line 107, in execute result = current_node.execute(state) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/scrapegraphai/nodes/rag_node.py", line 89, in execute retriever = FAISS.from_documents( ^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/langchain_core/vectorstores.py", line 550, in from_documents return cls.from_texts(texts, embedding, metadatas=metadatas, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/langchain_community/vectorstores/faiss.py", line 930, in from_texts embeddings = embedding.embed_documents(texts) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/langchain_openai/embeddings/base.py", line 489, in embed_documents return self._get_len_safe_embeddings(texts, engine=engine) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/langchain_openai/embeddings/base.py", line 347, in _get_len_safe_embeddings response = self.client.create( ^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/openai/resources/embeddings.py", line 114, in create return self._post( ^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/openai/_base_client.py", line 1240, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/openai/_base_client.py", line 921, in request return self._request( ^^^^^^^^^^^^^^ File "/home/adminuser/venv/lib/python3.11/site-packages/openai/_base_client.py", line 1020, in _request raise self._make_status_error_from_response(err.response) from None
Can you please assign me ?? I am eager to work on it.
Do you want to modify this repo or the streamlit one?
