How Farmer.CHAT turns conversations to structured data
Our https://gooey.ai/copilot workflow let's anyone build WhatsApp/FB or their own GPT4 powered chat bots, by just swapping our their own documents and GPT prompts. Additionally, we also enable you to analyze the user's message and bot's answer to create structured data from the raw conversational messages.
Each Gooey.AI copilot will have their own conversational analysis script like this one to help analyze the user's questions and the bot's ability to answer them well.
In this case, our Farmer.CHAT partner DigitalGreen.org wants to analyze the user's messages and categorize them based on their own logic. Hence, this LLM prompt takes a message and response and then determines whether:
- We should update the user's profile object (because they mentioned their location, crop or gender)
- The user's question was answered
- The topic of the user's question.
📖 To learn more, take a look at our complete API
📤 Example Request
Generate an api key below👇
Install node-fetch & add the GOOEY_API_KEY to your environment variables.
Never store the api key in your code and don't use direcly in the browser.
$ npm install node-fetch
$ export GOOEY_API_KEY=sk-xxxx
- Use this sample code to call the API.
If you encounter any issues, write to us at [email protected] and make sure to include the full code snippet and the error message.
import fetch from 'node-fetch';
const payload = {};
async function gooeyAPI() {
const response = await fetch("https://api.gooey.ai/v2/CompareLLM/?example_id=lbjnoem7", {
method: "POST",
headers: {
"Authorization": "Bearer " + process.env["GOOEY_API_KEY"],
"Content-Type": "application/json",
},
body: JSON.stringify(payload),
});
if (!response.ok) {
throw new Error(response.status);
}
const result = await response.json();
console.log(response.status, result);
}
gooeyAPI();
Generate an api key below👇
Install requests & add the GOOEY_API_KEY to your environment variables.
Never store the api key in your code.
$ python3 -m pip install requests
$ export GOOEY_API_KEY=sk-xxxx
- Use this sample code to call the API.
If you encounter any issues, write to us at [email protected] and make sure to include the full code snippet and the error message.
import os
import requests
payload = {}
response = requests.post(
"https://api.gooey.ai/v2/CompareLLM/?example_id=lbjnoem7",
headers={
"Authorization": "Bearer " + os.environ["GOOEY_API_KEY"],
},
json=payload,
)
assert response.ok, response.content
result = response.json()
print(response.status_code, result)
Generate an api key below👇
Install curl & add the GOOEY_API_KEY to your environment variables.
Never store the api key in your code.
export GOOEY_API_KEY=sk-xxxx
- Run the following
curl command in your terminal.
If you encounter any issues, write to us at [email protected] and make sure to include the full curl command and the error message.
curl 'https://api.gooey.ai/v2/CompareLLM/?example_id=lbjnoem7' \
-H "Authorization: Bearer $GOOEY_API_KEY" \
-H 'Content-Type: application/json' \
-d '{}'
🎁 Example Response
{4 Items"url":
string
"https://gooey.ai/compare-large-language-models/"
"created_at":
string
"2023-07-28T15:05:42.006369+00:00"
"output":
{1 Items"output_text":
{1 Items"gpt_3_5_turbo":
[…
]1 Items Please Login to generate the $GOOEY_API_KEY