fix : Readme, requirements.txt added
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priyanshm07
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# Python-related
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__pycache__/
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*.pyc
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*.pyo
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*.pyd
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*.db
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*.sqlite3
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*.log
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*.json
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# Environment and secrets
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.env
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*.env
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# Streamlit cache and temporary files
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.streamlit/
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.history/
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.cache/
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*.stcache
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.stcache/
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# Logs and temp files
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*.log
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*.out
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*.err
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# IDE and editor config files
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.vscode/
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.idea/
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*.swp
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*.swo
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*.bak
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*.tmp
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# System files
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.DS_Store
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Thumbs.db
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# OCR and image processing cache (if any)
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~/.EasyOCR/
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*.easyocr
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*.txt
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115
ai_agent_tutorials/ai_breakup_recovery_agent/README.md
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115
ai_agent_tutorials/ai_breakup_recovery_agent/README.md
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# 💔 Breakup Recovery Agent Team
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This is an AI-powered application designed to help users emotionally recover from breakups by providing support, guidance, and emotional outlet messages from a team of specialized AI agents. The app is built using **Streamlit** and **Agno**, leveraging **OpenAI's GPT models**.
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## 🚀 Features
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- 🧠 **Multi-Agent Team:**
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- **Therapist Agent:** Offers empathetic support and coping strategies.
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- **Closure Agent:** Writes emotional messages users shouldn't send for catharsis.
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- **Routine Planner Agent:** Suggests daily routines for emotional recovery.
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- **Brutal Honesty Agent:** Provides direct, no-nonsense feedback on the breakup.
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- 📷 **Chat Screenshot Analysis:** (Planned)
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- Upload screenshots for chat analysis.
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- 🔑 **API Key Management:**
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- Store and manage your OpenAI API keys securely via Streamlit's sidebar.
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- ⚡ **Parallel Execution:**
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- Agents process inputs in coordination mode for comprehensive results.
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- ✅ **User-Friendly Interface:**
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- Simple, intuitive UI with easy interaction and display of agent responses.
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---
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## 🛠️ Tech Stack
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- **Frontend:** Streamlit (Python)
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- **AI Models:** OpenAI GPT-4o (via Agno)
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- **Image Processing:** PIL (for displaying screenshots)
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- **Text Extraction:** EasyOCR (planned feature for extracting text from screenshots)
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- **Environment Variables:** API keys managed with `st.session_state` in Streamlit
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---
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## 📦 Installation
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1. **Clone the Repository:**
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```bash
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git clone <repository_url>
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cd breakup-recovery-agent-team
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```
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2. **Create a Virtual Environment (Optional but Recommended):**
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```bash
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conda create --name <env_name> python=<version>
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conda activate <env_name>
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```
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3. **Install Dependencies:**
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```bash
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pip install -r requirements.txt
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```
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4. **Run the Streamlit App:**
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```bash
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streamlit run app.py
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```
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---
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## 🔑 Environment Variables
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Make sure to provide your **OpenAI API key** in the Streamlit sidebar:
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- `OpenAI API Key` → Add your API key in the sidebar form.
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---
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## 🛠️ Usage
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1. **Enter Your Feelings:**
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- Describe how you're feeling in the text area.
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2. **Upload Screenshot (Optional):**
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- Upload a chat screenshot (PNG, JPG, JPEG) for analysis (planned feature).
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3. **Execute Agents:**
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- Click **"Get Recovery Support"** to run the multi-agent team.
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4. **View Results:**
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- Individual agent responses are displayed.
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- A final summary is provided by the Team Leader.
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---
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## 🧑💻 Agents Overview
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- **Therapist Agent**
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- Provides empathetic support and coping strategies.
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- Uses **OpenAI GPT-4o-mini** and DuckDuckGo tools for insights.
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- **Closure Agent**
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- Generates unsent emotional messages for emotional release.
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- Ensures heartfelt and authentic messages.
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- **Routine Planner Agent**
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- Creates a daily recovery routine with balanced activities.
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- Includes self-reflection, social interaction, and healthy distractions.
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- **Brutal Honesty Agent**
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- Offers direct, objective feedback on the breakup.
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- Uses factual language with no sugar-coating.
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---
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## 🔥 Future Enhancements
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- ✅ **Text Extraction from Screenshots:**
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- Use EasyOCR to extract text from uploaded screenshots for chat analysis.
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- ✅ **Improved Image Analysis:**
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- Integrate image analysis tools for detecting visual patterns in chat screenshots.
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---
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## 📄 License
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This project is licensed under the **MIT License**.
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---
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@ -20,7 +20,6 @@ if submit_button:
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# --- User Input ---
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user_input = st.text_area("Describe how you're feeling...")
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print(user_input)
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# --- Image Upload ---
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uploaded_image = st.file_uploader("Upload a chat screenshot (optional)", type=["png", "jpg", "jpeg"])
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@ -46,7 +45,6 @@ if st.button("Get Recovery Support"):
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# Set environment variables
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import os
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os.environ["OPENAI_API_KEY"] = st.session_state.get("openai_api_key", "")
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# os.environ["AGNO_API_KEY"] = st.session_state.get("agno_api_key", "")
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# Prepare the input
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input_data = user_input
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agno==1.2.4
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pillow==11.1.0
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streamlit==1.44.0
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