Added new demo
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@ -27,6 +27,7 @@ A curated collection of awesome LLM apps built with RAG and AI agents. This repo
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- [💬 Chat with GitHub Repo](#-chat-with-github-repo)
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- [💬 Chat with GitHub Repo](#-chat-with-github-repo)
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- [📈 AI Investment Agent](#-ai-investment-agent)
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- [📈 AI Investment Agent](#-ai-investment-agent)
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- [🗞️ AI Journalist Agent](#-ai-journalist-agent)
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- [🗞️ AI Journalist Agent](#-ai-journalist-agent)
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- [🛫 AI Travel Agent](#-ai-travel-agent)
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- [📰 Multi-Agent AI Researcher](#-multi-agent-ai-researcher)
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- [📰 Multi-Agent AI Researcher](#-multi-agent-ai-researcher)
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- [📄 Chat with PDF](#-chat-with-pdf)
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- [📄 Chat with PDF](#-chat-with-pdf)
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- [💻 Web Scraping AI Agent](#-web-scraping-ai-agent)
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- [💻 Web Scraping AI Agent](#-web-scraping-ai-agent)
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@ -59,6 +60,9 @@ AI investment agent that compares the performance of two stocks and generates de
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### 🗞️ AI Journalist Agent
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### 🗞️ AI Journalist Agent
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AI-powered journalist agent that generates high-quality articles using OpenAI GPT-4o. It automates the process of researching, writing, and editing articles, allowing you to create compelling content on any topic with ease.
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AI-powered journalist agent that generates high-quality articles using OpenAI GPT-4o. It automates the process of researching, writing, and editing articles, allowing you to create compelling content on any topic with ease.
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## 🛫 AI Travel Agent
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AI-powered travel Agent that generates personalized travel itineraries using OpenAI GPT-4o. It automates the process of researching, planning, and organizing your dream vacation, allowing you to explore exciting destinations with ease.
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### 📰 Multi-Agent AI Researcher
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### 📰 Multi-Agent AI Researcher
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Use a team of AI agents to research top HackerNews stories and users with GPT-4 to generate blog posts, reports, and social media content on autopilot.
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Use a team of AI agents to research top HackerNews stories and users with GPT-4 to generate blog posts, reports, and social media content on autopilot.
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@ -78,7 +78,6 @@ if openai_api_key and serp_api_key:
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"Remember: you are the final gatekeeper before the article is published.",
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"Remember: you are the final gatekeeper before the article is published.",
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],
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],
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add_datetime_to_instructions=True,
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add_datetime_to_instructions=True,
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# debug_mode=True,
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markdown=True,
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markdown=True,
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)
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)
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38
ai_travel_agent/README.MD
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38
ai_travel_agent/README.MD
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## 🛫 AI Travel Agent
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This Streamlit app is an AI-powered travel Agent that generates personalized travel itineraries using OpenAI GPT-4o. It automates the process of researching, planning, and organizing your dream vacation, allowing you to explore exciting destinations with ease.
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### Features
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- Research and discover exciting travel destinations, activities, and accommodations
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- Customize your itinerary based on the number of days you want to travel
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- Utilize the power of GPT-4o to generate intelligent and personalized travel plans
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### How to get Started?
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1. Clone the GitHub repository
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```bash
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git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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```
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2. Install the required dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Get your OpenAI API Key
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- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
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4. Get your SerpAPI Key
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- Sign up for an [SerpAPI account](https://serpapi.com/) and obtain your API key.
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5. Run the Streamlit App
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```bash
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streamlit run travel_agent.py
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```
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### How it Works?
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The AI Travel Agent has two main components:
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- Researcher: Responsible for generating search terms based on the user's destination and travel duration, and searching the web for relevant activities and accommodations using SerpAPI.
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- Planner: Takes the research results and user preferences to generate a personalized draft itinerary that includes suggested activiti
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4
ai_travel_agent/requirements.txt
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4
ai_travel_agent/requirements.txt
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streamlit
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phidata
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openai
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google-search-results
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69
ai_travel_agent/travel_agent.py
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69
ai_travel_agent/travel_agent.py
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from textwrap import dedent
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from phi.assistant import Assistant
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from phi.tools.serpapi_tools import SerpApiTools
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import streamlit as st
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from phi.llm.openai import OpenAIChat
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# Set up the Streamlit app
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st.title("AI Travel Planner ✈️")
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st.caption("Plan your next adventure with AI Travel Planner by researching and planning a personalized itinerary on autopilot using GPT-4o")
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# Get OpenAI API key from user
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openai_api_key = st.text_input("Enter OpenAI API Key to access GPT-4o", type="password")
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# Get SerpAPI key from the user
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serp_api_key = st.text_input("Enter Serp API Key for Search functionality", type="password")
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if openai_api_key and serp_api_key:
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researcher = Assistant(
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name="Researcher",
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role="Searches for travel destinations, activities, and accommodations based on user preferences",
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llm=OpenAIChat(model="gpt-4o", api_key=openai_api_key),
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description=dedent(
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"""\
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You are a world-class travel researcher. Given a travel destination and the number of days the user wants to travel for,
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generate a list of search terms for finding relevant travel activities and accommodations.
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Then search the web for each term, analyze the results, and return the 10 most relevant results.
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"""
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),
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instructions=[
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"Given a travel destination and the number of days the user wants to travel for, first generate a list of 3 search terms related to that destination and the number of days.",
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"For each search term, `search_google` and analyze the results."
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"From the results of all searches, return the 10 most relevant results to the user's preferences.",
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"Remember: the quality of the results is important.",
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],
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tools=[SerpApiTools(api_key=serp_api_key)],
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add_datetime_to_instructions=True,
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)
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planner = Assistant(
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name="Planner",
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role="Generates a draft itinerary based on user preferences and research results",
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llm=OpenAIChat(model="gpt-4o", api_key=openai_api_key),
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description=dedent(
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"""\
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You are a senior travel planner. Given a travel destination, the number of days the user wants to travel for, and a list of research results,
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your goal is to generate a draft itinerary that meets the user's needs and preferences.
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"""
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),
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instructions=[
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"Given a travel destination, the number of days the user wants to travel for, and a list of research results, generate a draft itinerary that includes suggested activities and accommodations.",
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"Ensure the itinerary is well-structured, informative, and engaging.",
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"Ensure you provide a nuanced and balanced itinerary, quoting facts where possible.",
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"Remember: the quality of the itinerary is important.",
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"Focus on clarity, coherence, and overall quality.",
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"Never make up facts or plagiarize. Always provide proper attribution.",
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],
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add_datetime_to_instructions=True,
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add_chat_history_to_prompt=True,
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num_history_messages=3,
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)
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# Input fields for the user's destination and the number of days they want to travel for
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destination = st.text_input("Where do you want to go?")
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num_days = st.number_input("How many days do you want to travel for?", min_value=1, max_value=30, value=7)
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if st.button("Generate Itinerary"):
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with st.spinner("Processing..."):
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# Get the response from the assistant
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response = planner.run(f"{destination} for {num_days} days", stream=False)
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st.write(response)
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