From 805507ef0c48467dd4d1636d6175e4e0263b5d88 Mon Sep 17 00:00:00 2001 From: ShubhamSaboo Date: Sun, 1 Jun 2025 14:25:51 -0500 Subject: [PATCH] Added new Demo --- .../ai_financial_coach_agent/.env | 1 - .../ai_mental_wellbeing_agent/README.md | 2 +- .../multi_agent_researcher/README.md | 2 +- .../README.md | 84 +++++ .../product_launch_intelligence_agent.py | 304 ++++++++++++++++++ .../requirements.txt | 4 + .../ai_customer_support_agent/README.md | 2 +- .../ai_deep_research_agent/README.md | 2 +- .../ai_health_fitness_agent/README.md | 2 +- .../ai_investment_agent/README.md | 2 +- .../ai_journalist_agent/README.md | 2 +- .../ai_lead_generation_agent/README.md | 2 +- .../ai_meeting_agent/README.md | 2 +- .../ai_movie_production_agent/README.md | 2 +- .../ai_personal_finance_agent/README.md | 2 +- .../ai_startup_insight_fire1_agent/README.md | 1 - .../ai_system_architect_r1/README.md | 2 +- .../chat_with_github/README.md | 2 +- .../chat_with_gmail/README.md | 2 +- 19 files changed, 406 insertions(+), 16 deletions(-) delete mode 100644 advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/.env create mode 100644 advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/README.md create mode 100644 advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/product_launch_intelligence_agent.py create mode 100644 advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/requirements.txt diff --git a/advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/.env b/advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/.env deleted file mode 100644 index bc02262..0000000 --- a/advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/.env +++ /dev/null @@ -1 +0,0 @@ -GOOGLE_API_KEY=your_gemini_api_key_here \ No newline at end of file diff --git a/advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/README.md b/advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/README.md index a70b0bc..067a00e 100644 --- a/advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/README.md +++ b/advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/README.md @@ -38,7 +38,7 @@ Follow these steps to set up and run the application: 1. **Clone the Repository**: ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git - cd ai_agent_tutorials/ai_mental_wellbeing_agent + cd advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent ``` 2. **Install Dependencies**: diff --git a/advanced_ai_agents/multi_agent_apps/multi_agent_researcher/README.md b/advanced_ai_agents/multi_agent_apps/multi_agent_researcher/README.md index d8276e4..fa31f16 100644 --- a/advanced_ai_agents/multi_agent_apps/multi_agent_researcher/README.md +++ b/advanced_ai_agents/multi_agent_apps/multi_agent_researcher/README.md @@ -12,7 +12,7 @@ This Streamlit app empowers you to research top stories and users on HackerNews ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/multi_agent_researcher +cd advanced_ai_agents/multi_agent_apps/multi_agent_researcher ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/README.md b/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/README.md new file mode 100644 index 0000000..63a42cb --- /dev/null +++ b/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/README.md @@ -0,0 +1,84 @@ +# 🚀 Product Launch Intelligence Agent + +A **streamlined intelligence hub** for Go-To-Market (GTM) & Product-Marketing teams. +Built with **Agno + Firecrawl + Streamlit**, the app turns scattered public-web data into concise, actionable launch insights. + + +## đŸŽ¯ Core Use-Cases + +| Tab | What You Get | +|-----|--------------| +| **Competitor Analysis** | GTM-focused breakdown of a rival's latest launches – key messaging, differentiators, pricing cues & launch channels | +| **Market Sentiment** | Consolidated review themes & social chatter split by 🚀 *positive* / ⚠ī¸ *negative* drivers | +| **Launch Metrics** | Publicly available KPIs – press coverage, engagement numbers, qualitative "buzz" signals | + + +Responses are neatly rendered in markdown with a two-step process: +1. First, a concise bullet list of key findings +2. Then, an expanded 1200-word analysis with executive summary, deep dive, and recommendations + + +## 🛠ī¸ Tech Stack + +| Layer | Details | +|-------|---------| +| Data | **Firecrawl** search + crawl (async, poll-based) | +| Agent | **Agno** single-agent with FirecrawlTools & markdown output | +| UI | **Streamlit** wide layout, custom CSS, tabbed workflow | +| LLM | **OpenAI GPT-4o** for analysis and insights | + + +### How to get Started? + +1. Clone the GitHub repository + +```bash +git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git +cd advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent +``` +2. Install the required dependencies: + +```bash +pip install -r requirements.txt +``` +3. **Set up API Keys** + You can provide your API keys in two ways: + - **Environment Variables**: Add to `.env` file + ```ini + OPENAI_API_KEY=sk-************************ + FIRECRAWL_API_KEY=fc-************************ + ``` + - **UI Input**: Enter keys directly in the app's sidebar + +3. **Run** + ```bash + streamlit run product_launch_intelligence_agent.py + ``` + +4. **Navigate** to and start exploring. + + +## 🕹ī¸ Using the Application + +1. **Enter API Keys** in the sidebar if not set in environment variables +2. Pick a tab (Competitor ▸ Sentiment ▸ Metrics) +3. Enter the **company / product / hashtag** requested +4. Hit **Analyze** – a spinner indicates data gathering +5. Review the two-part analysis: + - Initial bullet points for quick insights + - Expanded report with detailed analysis + + +## đŸ“Ļ Output Structure + +The analysis is structured in two parts: + +1. **Quick Bullet Points** (max 10 bullets) + - Concise key findings + - Easy to scan and share + +2. **Expanded Analysis** (~1200 words) + - Executive Summary (<120 words) + - Deep Dive Analysis (with sub-headings) + - Actionable Recommendations + - Key Risks / Watch-outs \ No newline at end of file diff --git a/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/product_launch_intelligence_agent.py b/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/product_launch_intelligence_agent.py new file mode 100644 index 0000000..0c8cdf4 --- /dev/null +++ b/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/product_launch_intelligence_agent.py @@ -0,0 +1,304 @@ +import streamlit as st +from agno.agent import Agent +from agno.models.openai import OpenAIChat +from agno.tools.firecrawl import FirecrawlTools +from dotenv import load_dotenv +from datetime import datetime +from textwrap import dedent +import os + +# ---------------- Page Config & Styles ---------------- +st.set_page_config(page_title="Product Intelligence Agent", page_icon="🚀", layout="wide") + +st.markdown( + """ + + """, + unsafe_allow_html=True, +) + +# ---------------- Environment & Agent ---------------- +load_dotenv() + +# Add API key inputs in sidebar +with st.sidebar.expander("🔑 API Keys", expanded=True): + openai_key = st.text_input("OpenAI API Key", type="password", value=os.getenv("OPENAI_API_KEY", "")) + firecrawl_key = st.text_input("Firecrawl API Key", type="password", value=os.getenv("FIRECRAWL_API_KEY", "")) + +# Set environment variables +if openai_key: + os.environ["OPENAI_API_KEY"] = openai_key +if firecrawl_key: + os.environ["FIRECRAWL_API_KEY"] = firecrawl_key + +# Initialize agent only if both keys are provided +if openai_key and firecrawl_key: + launch_analyst = Agent( + name="Product Launch Analyst", + description=dedent(""" + You are a senior Go-To-Market strategist who evaluates competitor product launches with a critical, evidence-driven lens. + Your objective is to uncover: + â€ĸ How the product is positioned in the market + â€ĸ Which launch tactics drove success (strengths) + â€ĸ Where execution fell short (weaknesses) + â€ĸ Actionable learnings competitors can leverage + Always cite observable signals (messaging, pricing actions, channel mix, timing, engagement metrics). Maintain a crisp, executive tone and focus on strategic value. + """), + model=OpenAIChat(id="gpt-4o"), + tools=[FirecrawlTools(search=True, crawl=True, limit=8, poll_interval=10)], + show_tool_calls=True, + markdown=True, + exponential_backoff=True, + delay_between_retries=2, + ) +else: + launch_analyst = None + st.warning("⚠ī¸ Please enter both API keys in the sidebar to use the application.") + +# ---------------- Helper to display response ---------------- +def display_agent_response(resp): + """Render different response structures nicely.""" + if hasattr(resp, "content") and resp.content: + st.markdown(resp.content) + elif hasattr(resp, "messages"): + for m in resp.messages: + if m.role == "assistant" and m.content: + st.markdown(m.content) + else: + st.markdown(str(resp)) + +# Helper to expand bullet summary into 1200-word general report +def expand_insight(bullet_text: str, topic: str) -> str: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + return "" + + prompt = ( + f"Using ONLY the bullet points below, craft an in-depth (~1200-word) launch analysis report on {topic}.\n" + f"Structure:\n" + f"1. Executive Summary (<120 words)\n" + f"2. Strengths & Opportunities (what worked well)\n" + f"3. Weaknesses & Gaps (what didn't work or could be improved)\n" + f"4. Actionable Recommendations (bullet list)\n" + f"5. Key Risks / Watch-outs\n\n" + f"Bullet Points:\n{bullet_text}\n\n" + f"Ensure analysis is objective, evidence-based and references the bullet insights. Keep paragraphs short (≤120 words)." + ) + long_resp = launch_analyst.run(prompt) + return long_resp.content if hasattr(long_resp, "content") else str(long_resp) + +# Helper to craft competitor-focused launch report for product managers +def expand_competitor_report(bullet_text: str, competitor: str) -> str: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + return "" + + prompt = ( + f"Transform the insight bullets below into a professional launch review for product managers analysing {competitor}.\n\n" + f"Produce well-structured **Markdown** with a mix of tables, call-outs and concise bullet points — avoid long paragraphs.\n\n" + f"=== FORMAT SPECIFICATION ===\n" + f"# {competitor} – Launch Review\n\n" + f"## 1. Market & Product Positioning\n" + f"â€ĸ Bullet point summary of how the product is positioned (max 6 bullets).\n\n" + f"## 2. Launch Strengths\n" + f"| Strength | Evidence / Rationale |\n|---|---|\n| â€Ļ | â€Ļ | (add 4-6 rows)\n\n" + f"## 3. Launch Weaknesses\n" + f"| Weakness | Evidence / Rationale |\n|---|---|\n| â€Ļ | â€Ļ | (add 4-6 rows)\n\n" + f"## 4. Strategic Takeaways for Competitors\n" + f"1. â€Ļ (max 5 numbered recommendations)\n\n" + f"=== SOURCE BULLETS ===\n{bullet_text}\n\n" + f"Guidelines:\n" + f"â€ĸ Populate the tables with specific points derived from the bullets.\n" + f"â€ĸ Only include rows that contain meaningful data; omit any blank entries." + ) + resp = launch_analyst.run(prompt) + return resp.content if hasattr(resp, "content") else str(resp) + +# Helper to craft market sentiment report +def expand_sentiment_report(bullet_text: str, product: str) -> str: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + return "" + + prompt = ( + f"Use the tagged bullets below to create a concise market-sentiment brief for **{product}**.\n\n" + f"### Positive Sentiment\n" + f"â€ĸ List each positive point as a separate bullet (max 6).\n\n" + f"### Negative Sentiment\n" + f"â€ĸ List each negative point as a separate bullet (max 6).\n\n" + f"### Overall Summary\n" + f"Provide a short paragraph (≤120 words) summarising the overall sentiment balance and key drivers.\n\n" + f"Tagged Bullets:\n{bullet_text}" + ) + resp = launch_analyst.run(prompt) + return resp.content if hasattr(resp, "content") else str(resp) + +# Helper to craft launch metrics report +def expand_metrics_report(bullet_text: str, launch: str) -> str: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + return "" + + prompt = ( + f"Convert the KPI bullets below into a launch-performance snapshot for **{launch}** suitable for an executive dashboard.\n\n" + f"## Key Performance Indicators\n" + f"| Metric | Value / Detail | Source |\n" + f"|---|---|---|\n" + f"| â€Ļ | â€Ļ | â€Ļ | (include one row per KPI)\n\n" + f"## Qualitative Signals\n" + f"â€ĸ Bullet list of notable qualitative insights (max 5).\n\n" + f"## Summary & Implications\n" + f"Brief paragraph (≤120 words) highlighting what the metrics imply about launch success and next steps.\n\n" + f"KPI Bullets:\n{bullet_text}" + ) + resp = launch_analyst.run(prompt) + return resp.content if hasattr(resp, "content") else str(resp) + +# ---------------- UI ---------------- +st.title("🚀 Product Launch Intelligence Agent") +st.caption("AI Agent powered insights for GTM, Product Marketing & Growth Teams") + +# Create tabs for analysis types +analysis_tabs = st.tabs(["Competitor Analysis", "Market Sentiment", "Launch Metrics"]) + +# Persistent storage for latest response +if "analysis_response" not in st.session_state: + st.session_state.analysis_response = None + st.session_state.analysis_meta = {} + +# -------- Competitor Analysis Tab -------- +with analysis_tabs[0]: + st.subheader("🔍 Competitor Launch Analysis") + competitor_name = st.text_input("Competitor name", key="competitor_input") + + cols = st.columns([2, 1]) + with cols[0]: + if st.button("Analyze", key="competitor_btn") and competitor_name: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + else: + with st.spinner("Gathering competitive insights..."): + try: + bullets = launch_analyst.run( + f"Generate up to 16 evidence-based insight bullets about {competitor_name}'s most recent product launches.\n" + f"Format requirements:\n" + f"â€ĸ Start every bullet with exactly one tag: Positioning | Strength | Weakness | Learning\n" + f"â€ĸ Follow the tag with a concise statement (max 30 words) referencing concrete observations: messaging, differentiation, pricing, channel selection, timing, engagement metrics, or customer feedback." + ) + long_text = expand_competitor_report( + bullets.content if hasattr(bullets, "content") else str(bullets), + competitor_name + ) + st.session_state.analysis_response = long_text + st.session_state.analysis_meta = { + "type": "Competitor Analysis", + "query": competitor_name, + "timestamp": datetime.utcnow().isoformat() + } + st.success("✅ Analysis ready") + except Exception as e: + st.error(f"❌ Error: {e}") + + if st.session_state.analysis_response and st.session_state.analysis_meta.get("type") == "Competitor Analysis": + st.markdown("### 📊 Results") + st.markdown(st.session_state.analysis_response) + +# -------- Market Sentiment Tab -------- +with analysis_tabs[1]: + st.subheader("đŸ’Ŧ Market Sentiment Analysis") + product_name = st.text_input("Product name", key="sentiment_input") + + cols = st.columns([2, 1]) + with cols[0]: + if st.button("Analyze", key="sentiment_btn") and product_name: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + else: + with st.spinner("Collecting market sentiment..."): + try: + bullets = launch_analyst.run( + f"Summarize market sentiment for {product_name} in <=10 bullets. " + f"Cover top positive & negative themes with source mentions (G2, Reddit, Twitter)." + ) + long_text = expand_sentiment_report( + bullets.content if hasattr(bullets, "content") else str(bullets), + product_name + ) + st.session_state.analysis_response = long_text + st.session_state.analysis_meta = { + "type": "Market Sentiment", + "query": product_name, + "timestamp": datetime.utcnow().isoformat() + } + st.success("✅ Sentiment analysis ready") + except Exception as e: + st.error(f"❌ Error: {e}") + + if st.session_state.analysis_response and st.session_state.analysis_meta.get("type") == "Market Sentiment": + st.markdown("### 📈 Sentiment Insights") + st.markdown(st.session_state.analysis_response) + +# -------- Launch Metrics Tab -------- +with analysis_tabs[2]: + st.subheader("📈 Launch Performance Metrics") + product_launch = st.text_input("Product name / Launch campaign", key="metrics_input") + + cols = st.columns([2, 1]) + with cols[0]: + if st.button("Analyze", key="metrics_btn") and product_launch: + if not launch_analyst: + st.error("⚠ī¸ Please enter both API keys in the sidebar first.") + else: + with st.spinner("Fetching launch performance data..."): + try: + bullets = launch_analyst.run( + f"List (max 10 bullets) the most important publicly available KPIs & qualitative signals for {product_launch}. " + f"Include engagement stats, press coverage and social traction if available." + ) + long_text = expand_metrics_report( + bullets.content if hasattr(bullets, "content") else str(bullets), + product_launch + ) + st.session_state.analysis_response = long_text + st.session_state.analysis_meta = { + "type": "Launch Metrics", + "query": product_launch, + "timestamp": datetime.utcnow().isoformat() + } + st.success("✅ Metrics analysis ready") + except Exception as e: + st.error(f"❌ Error: {e}") + + if st.session_state.analysis_response and st.session_state.analysis_meta.get("type") == "Launch Metrics": + st.markdown("### 📊 Metric Highlights") + st.markdown(st.session_state.analysis_response) + +# ---------------- Sidebar ---------------- +st.sidebar.header("ℹī¸ About") +st.sidebar.markdown( + """ + **Product Launch Intelligence Agent** helps GTM teams quickly: + - Benchmark competitor launches + - Monitor market sentiment pre/post-launch + - Track launch performance signals + + Built with **Agno** & **Firecrawl**. + """ +) \ No newline at end of file diff --git a/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/requirements.txt b/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/requirements.txt new file mode 100644 index 0000000..6dbed9a --- /dev/null +++ b/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/requirements.txt @@ -0,0 +1,4 @@ +streamlit +agno +firecrawl + diff --git a/advanced_ai_agents/single_agent_apps/ai_customer_support_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_customer_support_agent/README.md index 2964558..5d3b4ec 100644 --- a/advanced_ai_agents/single_agent_apps/ai_customer_support_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_customer_support_agent/README.md @@ -13,7 +13,7 @@ This Streamlit app implements an AI-powered customer support agent for synthetic 1. Clone the GitHub repository ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/ai_customer_support_agent +cd advanced_ai_agents/single_agent_apps/ai_customer_support_agent ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/single_agent_apps/ai_deep_research_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_deep_research_agent/README.md index ed64c17..c9da8d5 100644 --- a/advanced_ai_agents/single_agent_apps/ai_deep_research_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_deep_research_agent/README.md @@ -29,7 +29,7 @@ A powerful research assistant that leverages OpenAI's Agents SDK and Firecrawl's 1. Clone this repository: ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git - cd ai_agent_tutorials/ai_deep_research_agent + cd advanced_ai_agents/single_agent_apps/ai_deep_research_agent ``` 2. Install the required packages: diff --git a/advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/README.md index 371129a..0922cd9 100644 --- a/advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/README.md @@ -38,7 +38,7 @@ Before anything else, Please get a free Gemini API Key provided by Google AI her 1. **Clone the Repository**: ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git - cd awesome-llm-apps/ai_agent_tutorials/ai_health_fitness_agent + cd advanced_ai_agents/single_agent_apps/ai_health_fitness_agent ``` 2. **Install the dependencies** diff --git a/advanced_ai_agents/single_agent_apps/ai_investment_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_investment_agent/README.md index 6ce5973..af83912 100644 --- a/advanced_ai_agents/single_agent_apps/ai_investment_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_investment_agent/README.md @@ -13,7 +13,7 @@ This Streamlit app is an AI-powered investment agent built with Agno's AI Agent ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/ai_investment_agent +cd advanced_ai_agents/single_agent_apps/ai_investment_agent ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/single_agent_apps/ai_journalist_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_journalist_agent/README.md index 18aa2ae..dac6142 100644 --- a/advanced_ai_agents/single_agent_apps/ai_journalist_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_journalist_agent/README.md @@ -12,7 +12,7 @@ This Streamlit app is an AI-powered journalist agent that generates high-quality ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/ai_journalist_agent +cd advanced_ai_agents/single_agent_apps/ai_journalist_agent ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/README.md index 93da1f7..fd66d47 100644 --- a/advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/README.md @@ -13,7 +13,7 @@ The AI Lead Generation Agent automates the process of finding and qualifying pot 1. **Clone the repository**: ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git - cd ai_agent_tutorials/ai_lead_generation_agent + cd advanced_ai_agents/single_agent_apps/ai_lead_generation_agent ``` 3. **Install the required packages**: ```bash diff --git a/advanced_ai_agents/single_agent_apps/ai_meeting_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_meeting_agent/README.md index b93679b..8475956 100644 --- a/advanced_ai_agents/single_agent_apps/ai_meeting_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_meeting_agent/README.md @@ -14,7 +14,7 @@ This Streamlit application leverages multiple AI agents to create comprehensive ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/ai_meeting_agent +cd advanced_ai_agents/single_agent_apps/ai_meeting_agent ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/single_agent_apps/ai_movie_production_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_movie_production_agent/README.md index 3dac2c7..6099cf8 100644 --- a/advanced_ai_agents/single_agent_apps/ai_movie_production_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_movie_production_agent/README.md @@ -12,7 +12,7 @@ This Streamlit app is an AI-powered movie production assistant that helps bring ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/ai_movie_production_agent +cd advanced_ai_agents/single_agent_apps/ai_movie_production_agent ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/single_agent_apps/ai_personal_finance_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_personal_finance_agent/README.md index c96ae2b..db1fda3 100644 --- a/advanced_ai_agents/single_agent_apps/ai_personal_finance_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_personal_finance_agent/README.md @@ -12,7 +12,7 @@ This Streamlit app is an AI-powered personal finance planner that generates pers ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/ai_agent_tutorials/ai_personal_finance_agent +cd advanced_ai_agents/single_agent_apps/ai_personal_finance_agent ``` 2. Install the required dependencies: diff --git a/advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent/README.md b/advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent/README.md index a2a236b..3c77240 100644 --- a/advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent/README.md @@ -39,7 +39,6 @@ An advanced web extraction and analysis tool built using Firecrawl's FIRE-1 agen git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git cd advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent - ``` # Install dependencies diff --git a/advanced_ai_agents/single_agent_apps/ai_system_architect_r1/README.md b/advanced_ai_agents/single_agent_apps/ai_system_architect_r1/README.md index a78e925..7f2bf03 100644 --- a/advanced_ai_agents/single_agent_apps/ai_system_architect_r1/README.md +++ b/advanced_ai_agents/single_agent_apps/ai_system_architect_r1/README.md @@ -31,7 +31,7 @@ An Agno agentic system that provides expert software architecture analysis and r ```bash # Clone the repository git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git - cd awesome-llm-apps/ai_agent_tutorials/ai_system_architect_r1 + cd advanced_ai_agents/single_agent_apps/ai_system_architect_r1 # Install dependencies pip install -r requirements.txt diff --git a/advanced_llm_apps/chat_with_X_tutorials/chat_with_github/README.md b/advanced_llm_apps/chat_with_X_tutorials/chat_with_github/README.md index a0c8e0b..c6118c9 100644 --- a/advanced_llm_apps/chat_with_X_tutorials/chat_with_github/README.md +++ b/advanced_llm_apps/chat_with_X_tutorials/chat_with_github/README.md @@ -14,7 +14,7 @@ LLM app with RAG to chat with GitHub Repo in just 30 lines of Python Code. The a ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/chat_with_X_tutorials/chat_with_github +cd advanced_llm_apps/chat_with_X_tutorials/chat_with_github ``` 2. Install the required dependencies: diff --git a/advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/README.md b/advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/README.md index 6666d80..a507f47 100644 --- a/advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/README.md +++ b/advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/README.md @@ -14,7 +14,7 @@ LLM app with RAG to chat with Gmail in just 30 lines of Python Code. The app use ```bash git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -cd awesome-llm-apps/chat_with_X_tutorials/chat_with_gmail +cd advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail ``` 2. Install the required dependencies