linkedin-posts-scraper/title_generator/generate.py

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Python
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2023-02-19 11:10:12 +00:00
import json
import yaml
import websocket
import os
BASE_DIR = '../janco_website/content/posts/'
OUTPUT_FILE = './output_shit.json'
files = os.scandir(BASE_DIR)
with open(OUTPUT_FILE, 'w') as of:
of.write("[\n")
def write_result(data):
with open(OUTPUT_FILE, 'a') as of:
of.write(json.dumps(data))
def send_msg(sess, data):
print("Send_msg", data)
sess.send(json.dumps(data))
def talk(sess, inputs):
send_msg(sess, {"type":"generate","inputs":inputs,"max_new_tokens":1,"stop_sequence":"</s>","extra_stop_sequences":["\n\nHuman"],"do_sample":1,"temperature":0.9,"top_k":40})
def collect_response(sess):
all_text = ""
while True:
raw = sess.recv()
print(raw)
res = json.loads(raw)
if 'stop' in res and res['stop']:
return all_text
all_text += res['outputs']
# https://websocket-client.readthedocs.io/en/latest/examples.html
sess = websocket.WebSocket()
sess.connect("ws://chat.petals.ml/api/v2/generate")
# Open model
send_msg(sess, {"type":"open_inference_session","model":"bigscience/bloomz-petals","max_length":1024})
print(sess.recv())
send_msg(sess, {"type":"generate","inputs":"A human talks to a powerful AI that follows the human's instructions.\n\nHuman: Hi!\n\nAI: Hi! How can I help you?</s>Human: Hello\n\nAI:","max_new_tokens":1,"stop_sequence":"</s>","extra_stop_sequences":["\n\nHuman"],"do_sample":1,"temperature":0.9,"top_k":40})
collect_response(sess)
for fname in files:
print("=========")
print(f"opening {fname.path}")
with open(fname.path) as inp_f:
file_content = inp_f.read()
compos = file_content.split('---')
headers = yaml.safe_load(compos[1])
content = compos[2].strip()
print(headers)
print(content)
prefix = "Donnez un titre descriptif résumant ce texte :"
send_msg(sess, {"type":"generate","inputs": "Human: " + prefix + content + "\nAI:","max_new_tokens":1,"stop_sequence":"</s>","extra_stop_sequences":["\n\nHuman"],"do_sample":1,"temperature":0.9,"top_k":40})
generated_title = collect_response(sess)
print(generated_title)
write_result({"on_post_file_path": fname.path, "generated_title": generated_title, "on_post": headers})
with open(OUTPUT_FILE, 'a') as of:
of.write("\n]\n")