Add podcast api tool to use NLP to search all podcasts or episodes. (#1833)

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.`
tool-patch
Wenbin Fang 1 year ago committed by GitHub
parent fa2e546b76
commit a7e09d46c5
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

@ -145,3 +145,10 @@ Below is a list of all supported tools and relevant information:
- Requires LLM: No
- Extra Parameters: `top_k_results`
**podcast-api**
- Tool Name: Podcast API
- Tool Description: Use the Listen Notes Podcast API to search all podcasts or episodes. The input should be a question in natural language that this API can answer.
- Notes: A natural language connection to the Listen Notes Podcast API (`https://www.PodcastAPI.com`), specifically the `/search/` endpoint.
- Requires LLM: Yes
- Extra Parameters: `listen_api_key` (your api key to access this endpoint)

@ -4,7 +4,7 @@ from typing import Any, List, Optional
from langchain.agents.tools import Tool
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.api import news_docs, open_meteo_docs, tmdb_docs
from langchain.chains.api import news_docs, open_meteo_docs, tmdb_docs, podcast_docs
from langchain.chains.api.base import APIChain
from langchain.chains.llm_math.base import LLMMathChain
from langchain.chains.pal.base import PALChain
@ -118,6 +118,20 @@ def _get_tmdb_api(llm: BaseLLM, **kwargs: Any) -> BaseTool:
)
def _get_podcast_api(llm: BaseLLM, **kwargs: Any) -> BaseTool:
listen_api_key = kwargs["listen_api_key"]
chain = APIChain.from_llm_and_api_docs(
llm,
podcast_docs.PODCAST_DOCS,
headers={"X-ListenAPI-Key": listen_api_key},
)
return Tool(
name="Podcast API",
description="Use the Listen Notes Podcast API to search all podcasts or episodes. The input should be a question in natural language that this API can answer.",
func=chain.run,
)
def _get_wolfram_alpha(**kwargs: Any) -> BaseTool:
return WolframAlphaQueryRun(api_wrapper=WolframAlphaAPIWrapper(**kwargs))
@ -166,6 +180,7 @@ def _get_bing_search(**kwargs: Any) -> BaseTool:
_EXTRA_LLM_TOOLS = {
"news-api": (_get_news_api, ["news_api_key"]),
"tmdb-api": (_get_tmdb_api, ["tmdb_bearer_token"]),
"podcast-api": (_get_podcast_api, ["listen_api_key"]),
}
_EXTRA_OPTIONAL_TOOLS = {

@ -0,0 +1,28 @@
# flake8: noqa
PODCAST_DOCS = """API documentation:
Endpoint: https://listen-api.listennotes.com/api/v2
GET /search
This API is for searching podcasts or episodes.
Query parameters table:
q | string | Search term, e.g., person, place, topic... You can use double quotes to do verbatim match, e.g., "game of thrones". Otherwise, it's fuzzy search. | required
type | string | What type of contents do you want to search for? Available values: episode, podcast, curated. default: episode | optional
page_size | integer | The maximum number of search results per page. A valid value should be an integer between 1 and 10 (inclusive). default: 3 | optional
language | string | Limit search results to a specific language, e.g., English, Chinese ... If not specified, it'll be any language. It works only when type is episode or podcast. | optional
region | string | Limit search results to a specific region (e.g., us, gb, in...). If not specified, it'll be any region. It works only when type is episode or podcast. | optional
len_min | integer | Minimum audio length in minutes. Applicable only when type parameter is episode or podcast. If type parameter is episode, it's for audio length of an episode. If type parameter is podcast, it's for average audio length of all episodes in a podcast. | optional
len_max | integer | Maximum audio length in minutes. Applicable only when type parameter is episode or podcast. If type parameter is episode, it's for audio length of an episode. If type parameter is podcast, it's for average audio length of all episodes in a podcast. | optional
Response schema (JSON object):
next_offset | integer | optional
total | integer | optional
results | array[object] (Episode / Podcast List Result Object)
Each object in the "results" key has the following schema:
listennotes_url | string | optional
id | integer | optional
title_highlighted | string | optional
Use page_size: 3
"""
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