forked from Archives/langchain
a7e09d46c5
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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| .. | ||
| agents | ||
| chains | ||
| chat | ||
| document_loaders | ||
| indexes | ||
| llms | ||
| memory | ||
| prompts | ||
| utils | ||
| agents.rst | ||
| chains.rst | ||
| chat.rst | ||
| document_loaders.rst | ||
| indexes.rst | ||
| llms.rst | ||
| memory.rst | ||
| prompts.rst | ||
| state_of_the_union.txt | ||
| utils.rst | ||