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| import streamlit as st | |
| import requests | |
| from utils.config import TWITTER_BEARER, OEPN_AI_KEY | |
| from haystack.nodes import PromptNode, PromptTemplate | |
| # cached to make index and models load only at start | |
| def start_haystack(): | |
| #Use this function to contruct a pipeline | |
| prompt_node = PromptNode(model_name_or_path="text-davinci-003", api_key=OEPN_AI_KEY) | |
| twitter_template = PromptTemplate(name="twitter-voice", prompt_text="""You will be given a twitter stream belonging to a specific profile. Tell us what they've lately been tweeting about and in what languages. | |
| You may go into some detail about what topics they tend to like tweeting about. Please also mention their overall tone, for example: positive, | |
| negative, political, sarcastic or something else. | |
| Example: | |
| Twitter stream: Many people in our community asked how to utilize LLMs in their NLP pipelines and how to modify prompts for their tasks.… | |
| RT @deepset_ai: We use parts of news articles from The Guardian as documents and create custom prompt templates to categorize these article | |
| Voice: This person has lately been tweeting about NLP and LLMs. Their tweets have been in Enlish | |
| Example: | |
| Twitter stream: I've directed my team to set sharper rules on how we deal with unidentified objects.\n\nWe will inventory, improve ca… | |
| the incursion by China’s high-altitude balloon, we enhanced radar to pick up slower objects.\n \nBy doing so, w… | |
| I gave an update on the United States’ response to recent aerial objects. | |
| Voice: This person has lately been tweeting about an unidentified object and an incursion by China with a high-altitude baloon. | |
| They have been tweeting about the USA. They have had a political tone. They mostly post in English. | |
| Twitter stream: $tweets. | |
| Voice: | |
| """) | |
| return prompt_node, twitter_template | |
| prompter, template = start_haystack() | |
| def query(username): | |
| bearer_token = TWITTER_BEARER | |
| headers = {"Authorization": "Bearer {}".format(bearer_token)} | |
| url = f"https://api.twitter.com/1.1/statuses/user_timeline.json?screen_name={username}&count={100}" | |
| try: | |
| response = requests.request("GET", url, headers = headers) | |
| twitter_stream = "" | |
| for tweet in response.json(): | |
| twitter_stream += (tweet["text"]) | |
| result = prompter.prompt(prompt_template=template, tweets=twitter_stream[0:4097]) | |
| except: | |
| result = ["Please make sure you are providing a correct, public twitter accout"] | |
| return result |