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Use the following code to test: ```python import os from langchain.llms import OpenAI from langchain.chains.api import podcast_docs from langchain.chains import APIChain # Get api key here: https://openai.com/pricing os.environ["OPENAI_API_KEY"] = "sk-xxxxx" # Get api key here: https://www.listennotes.com/api/pricing/ listen_api_key = 'xxx' llm = OpenAI(temperature=0) headers = {"X-ListenAPI-Key": listen_api_key} chain = APIChain.from_llm_and_api_docs(llm, podcast_docs.PODCAST_DOCS, headers=headers, verbose=True) chain.run("Search for 'silicon valley bank' podcast episodes, audio length is more than 30 minutes, return only 1 results") ``` Known issues: the api response data might be too big, and we'll get such error: `openai.error.InvalidRequestError: This model's maximum context length is 4097 tokens, however you requested 6733 tokens (6477 in your prompt; 256 for the completion). Please reduce your prompt; or completion length.` |
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| .. | ||
| _static | ||
| ecosystem | ||
| getting_started | ||
| modules | ||
| reference | ||
| tracing | ||
| use_cases | ||
| conf.py | ||
| deployments.md | ||
| ecosystem.rst | ||
| gallery.rst | ||
| glossary.md | ||
| index.rst | ||
| make.bat | ||
| Makefile | ||
| reference.rst | ||
| requirements.txt | ||
| tracing.md | ||