app.py

import requests as r
import json
import random
import tweepy
import feedparser

from dotenv import load_dotenv
import os

from datetime import datetime

timestamp = datetime.now()
formatted_timestamp = timestamp.strftime("%d-%m-%Y %H:%M:%S")
print(formatted_timestamp)

load_dotenv()

## PART 1 - GET NEWS API
# URL of the RSS feed
feed_url = "https://www.coindesk.com/arc/outboundfeeds/rss"
feed = feedparser.parse(feed_url)
news_list = []

count = 0
# Display entries in the feed
for entry in feed.entries:
    count+=1
    content = entry.content
    news_list.append(content)

tweet_news = random.choice(news_list)

### PART 2 - OPEN AI/Venice

# Set up your OpenAI API key
api_key = os.getenv("venice")

# Call the OpenAI API to generate a response
response = r.post(
    "https://api.venice.ai/api/v1/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    },
    json={
    "model": "llama-3.3-70b",
    "messages": [
      {
        "role": "system",
        "content": "You write tweets based on the news I send you, be as human as possible and be sarcastic when you find appropriate. Make sure the tweet is short and concise"
      },
      {
        "role": "user",
        "content": f"{tweet_news}"
      }
    ]}
)
# Print the generated response
print("-----")
response = response.json()
tweet_final = (response['choices'][0]['message']['content'])
print(f'Tweet: {tweet_final}')

## PART 3 - TWEET IT

consumer_key = os.getenv("consumer_key")
consumer_secret = os.getenv('consumer_secret')
access_token = os.getenv('access_token')
access_token_secret = os.getenv('access_token_secret')

client = tweepy.Client(
    consumer_key=consumer_key, consumer_secret=consumer_secret,
    access_token=access_token, access_token_secret=access_token_secret
)

response = client.create_tweet(
    text=tweet_final
)
print('tweet sent, url:')
print(f"https://twitter.com/user/status/{response.data['id']}")
print('---------------------------')