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| from omegaconf import OmegaConf | |
| import streamlit as st | |
| import os | |
| from PIL import Image | |
| import sys | |
| import requests | |
| from typing import Tuple | |
| from bs4 import BeautifulSoup | |
| from dotenv import load_dotenv | |
| load_dotenv(override=True) | |
| from pydantic import Field, BaseModel | |
| from vectara_agent.agent import Agent, AgentStatusType | |
| from vectara_agent.tools import ToolsFactory | |
| from vectara_agent.tools_catalog import summarize_text | |
| initial_prompt = "How can I help you today?" | |
| get_headers = { | |
| "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0", | |
| "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8", | |
| "Accept-Language": "en-US,en;q=0.5", | |
| "Accept-Encoding": "gzip, deflate", | |
| "Connection": "keep-alive", | |
| } | |
| def create_tools(cfg): | |
| class QueryHackerNews(BaseModel): | |
| query: str = Field(..., description="The user query.") | |
| tools_factory = ToolsFactory(vectara_api_key=cfg.api_key, | |
| vectara_customer_id=cfg.customer_id, | |
| vectara_corpus_id=cfg.corpus_id) | |
| ask_hackernews_semantic = tools_factory.create_rag_tool( | |
| tool_name = "ask_hackernews_semantic", | |
| tool_description = """ | |
| Responds to query based on information in hacker news from the last 6 months. | |
| Performs a semantic search to find relevant information. | |
| Use this tool to perform pure semantic search. | |
| """, | |
| tool_args_schema = QueryHackerNews, | |
| reranker = "multilingual_reranker_v1", rerank_k = 100, | |
| n_sentences_before = 2, n_sentences_after = 2, lambda_val = 0.0, | |
| summary_num_results = 10, | |
| vectara_summarizer = 'vectara-summary-ext-24-05-med-omni', | |
| include_citations = True, | |
| ) | |
| ask_hackernews_hybrid = tools_factory.create_rag_tool( | |
| tool_name = "ask_hackernews_keyword", | |
| tool_description = """ | |
| Responds to query based on information in hacker news from the last 6 months | |
| performs a hybrid search (both semantic and keyword) to find relevant information. | |
| Use this tool when some amount of keyword search is expected to work better than semantic search, | |
| For example, when you are looking for specific keywords or use rare words in the query. | |
| """, | |
| tool_args_schema = QueryHackerNews, | |
| reranker = "multilingual_reranker_v1", rerank_k = 100, | |
| n_sentences_before = 2, n_sentences_after = 2, lambda_val = 0.1, | |
| summary_num_results = 10, | |
| vectara_summarizer = 'vectara-summary-ext-24-05-med-omni', | |
| include_citations = True, | |
| ) | |
| def get_top_stories( | |
| n_stories: int = Field(default=10, description="The number of top stories to return.") | |
| ) -> list[str]: | |
| """ | |
| Get the top stories from hacker news. | |
| Returns a list of story IDS for the top stories right now | |
| """ | |
| db_url = 'https://hacker-news.firebaseio.com/v0/' | |
| top_stories = requests.get(f"{db_url}topstories.json").json() | |
| return top_stories[:n_stories] | |
| def get_show_stories( | |
| n_stories: int = Field(default=10, description="The number of top SHOW HN stories to return.") | |
| ) -> list[str]: | |
| """ | |
| Get the top SHOW HN stories from hacker news. | |
| Returns a list of story IDS for the top SHOW HN stories right now | |
| """ | |
| db_url = 'https://hacker-news.firebaseio.com/v0/' | |
| top_stories = requests.get(f"{db_url}showstories.json").json() | |
| return top_stories[:n_stories] | |
| def get_ask_stories( | |
| n_stories: int = Field(default=10, description="The number of top ASK HN stories to return.") | |
| ) -> list[str]: | |
| """ | |
| Get the top ASK HN stories from hacker news. | |
| Returns a list of story IDS for the top ASK HN stories right now | |
| """ | |
| db_url = 'https://hacker-news.firebaseio.com/v0/' | |
| top_stories = requests.get(f"{db_url}askstories.json").json() | |
| return top_stories[:n_stories] | |
| def get_story_details( | |
| story_id: str = Field(..., description="The story ID.") | |
| ) -> Tuple[str, str]: | |
| """ | |
| Get the title of a story from hacker news. | |
| Returns: | |
| - The title of the story (str) | |
| - The main URL of the story (str) | |
| - The external link pointed to in the story (str) | |
| """ | |
| db_url = 'https://hacker-news.firebaseio.com/v0/' | |
| story = requests.get(f"{db_url}item/{story_id}.json").json() | |
| story_url = f'https://news.ycombinator.com/item?id={story_id}' | |
| return story['title'], story_url, story['url'], | |
| def get_story_text( | |
| story_id: str = Field(..., description="The story ID.") | |
| ) -> str: | |
| """ | |
| Get the text of the story from hacker news (original text + all comments) | |
| Returns the extracted text of the story as a string. | |
| """ | |
| url = f'https://news.ycombinator.com/item?id={story_id}' | |
| html = requests.get(url, headers=get_headers).text | |
| soup = BeautifulSoup(html, 'html5lib') | |
| for element in soup.find_all(['script', 'style']): | |
| element.decompose() | |
| text = soup.get_text(" ", strip=True).replace('\n', ' ') | |
| return text | |
| def whats_new( | |
| n_stories: int = Field(default=10, description="The number of new stories to return.") | |
| ) -> list[str]: | |
| """ | |
| Provides a succint summary of what is new in the hackernews community | |
| by summarizing the content and comments of top stories. | |
| Returns a string with the summary. | |
| """ | |
| stories = get_top_stories(n_stories) | |
| texts = [get_story_text(story_id) for story_id in stories[:n_stories]] | |
| all_stories = '---------\n\n'.join(texts) | |
| return summarize_text(all_stories) | |
| return ( | |
| tools_factory.get_tools( | |
| [ | |
| get_top_stories, | |
| get_show_stories, | |
| get_ask_stories, | |
| get_story_details, | |
| get_story_text, | |
| whats_new | |
| ] | |
| ) + | |
| tools_factory.standard_tools() + | |
| tools_factory.guardrail_tools() + | |
| [ask_hackernews_semantic, ask_hackernews_hybrid] | |
| ) | |
| def initialize_agent(_cfg): | |
| if 'agent' in st.session_state: | |
| return st.session_state.agent | |
| bot_instructions = """ | |
| - You are a helpful assistant, with expertise in answering user questions about Hacker News stories and comments. | |
| - Never discuss politics, and always respond politely. | |
| - This is important: when you include links to Hacker News stories, use the actual title of the story as the link's displayed text. | |
| Don't use text like "Source" which doesn't tell the user what the link is about. | |
| - Give slight preference to newer stories when answering questions. | |
| """ | |
| def update_func(status_type: AgentStatusType, msg: str): | |
| if status_type != AgentStatusType.AGENT_UPDATE: | |
| output = f"{status_type.value} - {msg}" | |
| st.session_state.log_messages.append(output) | |
| agent = Agent( | |
| tools=create_tools(_cfg), | |
| topic="hacker news", | |
| custom_instructions=bot_instructions, | |
| update_func=update_func | |
| ) | |
| return agent | |
| def toggle_logs(): | |
| st.session_state.show_logs = not st.session_state.show_logs | |
| def launch_bot(): | |
| def reset(): | |
| st.session_state.messages = [{"role": "assistant", "content": initial_prompt, "avatar": "🦖"}] | |
| st.session_state.thinking_message = "Agent at work..." | |
| st.session_state.log_messages = [] | |
| st.session_state.prompt = None | |
| st.session_state.show_logs = False | |
| st.set_page_config(page_title="Hacker News Bot", layout="wide") | |
| if 'cfg' not in st.session_state: | |
| cfg = OmegaConf.create({ | |
| 'customer_id': str(os.environ['VECTARA_CUSTOMER_ID']), | |
| 'corpus_id': str(os.environ['VECTARA_CORPUS_ID']), | |
| 'api_key': str(os.environ['VECTARA_API_KEY']), | |
| }) | |
| st.session_state.cfg = cfg | |
| reset() | |
| cfg = st.session_state.cfg | |
| if 'agent' not in st.session_state: | |
| st.session_state.agent = initialize_agent(cfg) | |
| # left side content | |
| with st.sidebar: | |
| image = Image.open('Vectara-logo.png') | |
| st.image(image, width=250) | |
| st.markdown("## Welcome to the hacker news assistant demo.\n\n\n") | |
| st.markdown("\n\n") | |
| bc1, _ = st.columns([1, 1]) | |
| with bc1: | |
| if st.button('Start Over'): | |
| reset() | |
| st.markdown("---") | |
| st.markdown( | |
| "## How this works?\n" | |
| "This app was built with [Vectara](https://vectara.com).\n\n" | |
| "It demonstrates the use of Agentic RAG functionality with Vectara" | |
| ) | |
| st.markdown("---") | |
| if "messages" not in st.session_state.keys(): | |
| reset() | |
| # Display chat messages | |
| for message in st.session_state.messages: | |
| with st.chat_message(message["role"], avatar=message["avatar"]): | |
| st.write(message["content"]) | |
| # User-provided prompt | |
| if prompt := st.chat_input(): | |
| st.session_state.messages.append({"role": "user", "content": prompt, "avatar": '🧑💻'}) | |
| st.session_state.prompt = prompt # Save the prompt in session state | |
| st.session_state.log_messages = [] | |
| st.session_state.show_logs = False | |
| with st.chat_message("user", avatar='🧑💻'): | |
| print(f"Starting new question: {prompt}\n") | |
| st.write(prompt) | |
| # Generate a new response if last message is not from assistant | |
| if st.session_state.prompt: | |
| with st.chat_message("assistant", avatar='🤖'): | |
| with st.spinner(st.session_state.thinking_message): | |
| res = st.session_state.agent.chat(st.session_state.prompt) | |
| res = res.replace('$', '\\$') # escape dollar sign for markdown | |
| message = {"role": "assistant", "content": res, "avatar": '🤖'} | |
| st.session_state.messages.append(message) | |
| st.markdown(res) | |
| st.session_state.prompt = None | |
| log_placeholder = st.empty() | |
| with log_placeholder.container(): | |
| if st.session_state.show_logs: | |
| st.button("Hide Logs", on_click=toggle_logs) | |
| for msg in st.session_state.log_messages: | |
| st.text(msg) | |
| else: | |
| if len(st.session_state.log_messages) > 0: | |
| st.button("Show Logs", on_click=toggle_logs) | |
| sys.stdout.flush() | |
| if __name__ == "__main__": | |
| launch_bot() | |