Spaces:
Sleeping
Sleeping
File size: 8,661 Bytes
d359e96 9d5cf28 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 ec677f8 d359e96 3438b94 83f0ffb ec677f8 b7d8dec d359e96 ddecbfb d359e96 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 |
import openai
import time
from datetime import datetime
import requests
import json
import streamlit as st
news_api_key = st.secrets["news_api_key"]
openai_api_key = st.secrets["openai_api_key"]
client = openai.OpenAI(api_key = openai_api_key)
model = "gpt-3.5-turbo-16k"
def get_news(topic):
url = (
f"https://newsapi.org/v2/everything?q={topic}&apiKey={news_api_key}&pageSize=5"
)
try:
response = requests.get(url)
if response.status_code == 200:
news = json.dumps(response.json(), indent=4)
news_json = json.loads(news)
data = news_json
# Access all the fiels == loop through
status = data["status"]
total_results = data["totalResults"]
articles = data["articles"]
final_news = []
# Loop through articles
for article in articles:
source_name = article["source"]["name"]
author = article["author"]
title = article["title"]
description = article["description"]
url = article["url"]
content = article["content"]
title_description = f"""
Title: {title},
Author: {author},
Source: {source_name},
Description: {description},
URL: {url}
"""
final_news.append(title_description)
return final_news
else:
return []
except requests.exceptions.RequestException as e:
print("Error occured during API Request", e)
class AssistantManager ():
thread_id = None
assistant_id = None
def __init__(self, model: str = model, assistant_id = None, thread_id = None):
self.client = client
self.model = model
self.run = None
self.summary = None
self.assistant_id = assistant_id
self.thread = thread_id
# Retrieve existing thread if IDs are already set
if self.thread_id:
self.thread = self.client.beta.threads.retrieve(
thread_id=self.thread_id
)
def create_assistant(self, name, instructions, tools):
# Retrieve existing assistant and thread if IDs are already set
try:
self.assistant = self.client.beta.assistants.retrieve(
assistant_id=self.assistant_id
)
except openai.NotFoundError:
# If the assistant doesn't exist, create a new one
assistant_obj = self.client.beta.assistants.create(
name=name, instructions=instructions, tools=tools, model=self.model
)
self.assistant_id = assistant_obj.id
self.assistant = assistant_obj
print(f"Created new assistant with ID: {self.assistant.id}")
except Exception as e:
# If any other error occurs, raise the error
raise e
def create_thread(self):
if not self.thread:
thread_obj = self.client.beta.threads.create()
self.thread_id = thread_obj.id
self.thread = thread_obj
print(f"ThreadID::: {self.thread.id}")
def add_message_to_thread(self, role, content):
if self.thread:
self.client.beta.threads.messages.create(
thread_id=self.thread.id, role=role, content=content
)
def run_assistant(self, instructions):
if self.thread and self.assistant:
self.run = self.client.beta.threads.runs.create(
thread_id=self.thread.id,
assistant_id=self.assistant.id,
instructions=instructions,
)
def process_message(self):
if self.thread:
messages = self.client.beta.threads.messages.list(thread_id=self.thread.id)
summary = []
last_message = messages.data[0]
role = last_message.role
response = last_message.content[0].text.value
summary.append(response)
self.summary = "\n".join(summary)
print(f"SUMMARY-----> {role.capitalize()}: ==> {response}")
def call_required_functions(self, required_actions):
if not self.run:
return
tool_outputs = []
for action in required_actions["tool_calls"]:
func_name = action["function"]["name"]
arguments = json.loads(action["function"]["arguments"])
if func_name == "get_news":
output = get_news(topic=arguments["topic"])
print(f"STUFFFFF;;;;{output}")
final_str = ""
for item in output:
final_str += "".join(item)
tool_outputs.append({"tool_call_id": action["id"], "output": final_str})
else:
raise ValueError(f"Unknown function: {func_name}")
print("Submitting outputs back to the Assistant...")
self.client.beta.threads.runs.submit_tool_outputs(
thread_id=self.thread.id, run_id=self.run.id, tool_outputs=tool_outputs
)
# for streamlit
def get_summary(self):
return self.summary
def wait_for_completion(self):
if self.thread and self.run:
while True:
time.sleep(5)
run_status = self.client.beta.threads.runs.retrieve(
thread_id=self.thread.id, run_id=self.run.id
)
print(f"RUN STATUS:: {run_status.model_dump_json(indent=4)}")
if run_status.status == "completed":
self.process_message()
break
elif run_status.status == "requires_action":
print("FUNCTION CALLING NOW...")
self.call_required_functions(
required_actions=run_status.required_action.submit_tool_outputs.model_dump()
)
# Run the steps
def run_steps(self):
run_steps = self.client.beta.threads.runs.steps.list(
thread_id=self.thread.id, run_id=self.run.id
)
print(f"Run-Steps::: {run_steps}")
return run_steps.data
def main():
manager = AssistantManager(assistant_id = 'asst_7adqkvmsU2ovkQsPiBFbh5yV')
# asst_lGnxol2MqmLr4x6OA4xJYXAq me
# asst_7adqkvmsU2ovkQsPiBFbh5yV Charles
# Streamlit interface
st.title("News Summariser")
# Note that API key's running out of budget
contact_url = "https://www.linkedin.com/in/linhvuu"
st.write("If no result returns, it means I am running out of energy. Please contact [Linh Vuu](%s) to wake me up." % contact_url)
with st.form(key="user_input_form"):
instructions = st.text_input("Enter topic:")
submit_button = st.form_submit_button(label="Find and summarise news related to the topic above")
if submit_button:
manager.create_assistant(
name="News Summariser",
instructions="You are a personal article summarizer Assistant who knows how to take a list of article's titles and descriptions and then write a short summary of all the news articles",
tools=[
{
"type": "function",
"function": {
"name": "get_news",
"description": "Get the list of articles/news for the given topic",
"parameters": {
"type": "object",
"properties": {
"topic": {
"type": "string",
"description": "The topic for the news, e.g. bitcoin",
}
},
"required": ["topic"],
},
},
}
],
)
manager.create_thread()
# Add the message and run the assistant
manager.add_message_to_thread(
role="user", content=f"summarize the news on this topic {instructions}?"
)
manager.run_assistant(instructions="Summarize the news")
# Wait for completions and process messages
manager.wait_for_completion()
summary = manager.get_summary()
st.write(summary)
if __name__ == "__main__":
main() |