[Add] AI reddit manager

AI Twitter Manager/.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
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+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

AI Twitter Manager/.streamlit/config.toml

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+[theme]
+
+primaryColor="#F63366"
+backgroundColor="#1DA1F2"
+secondaryBackgroundColor="#F0F2F6"
+textColor="#000"
+font="sans serif"

AI Twitter Manager/README.md

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+# Lyzr Twitter Agent
+
+A **Streamlit** application powered by **Lyzr Agent API** and **OpenAI** that allows users to research topics by sending queries to the Lyzr API, which then processes the requests and returns responses using a large language model.
+
+## Features
+
+- User-friendly text input interface for querying the Lyzr API.
+- Streamlit interface with wide layout and responsive columns for input and output.
+- Integrates **OpenAI** and **Lyzr APIs** for query handling and task completion.
+- Displays research status and final results within the Streamlit app.
+
+## Prerequisites
+
+Before you begin, ensure you have met the following requirements:
+
+- Python 3.7+
+- Streamlit installed (`pip install streamlit`)
+- Lyzr Agent installed (`pip install lyzr-agent`)
+- A valid OpenAI API key and Lyzr API key
+
+## Installation
+
+1. **Clone the repository**:
+
+    ```bash
+    git clone https://github.com/harshit-lyzr/auto_tweet.git
+    cd lyzr-twitter-agent
+    ```
+
+2. **Install dependencies**:
+
+    Make sure you have Python and pip installed. Then, run:
+
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. **Set up environment variables**:
+
+    Create a `.env` file in the root directory of the project and add your OpenAI and Lyzr API keys:
+
+    ```bash
+    OPENAI_API_KEY=your_openai_api_key
+    LYZR_API_KEY=your_lyzr_api_key
+    ```
+
+4. **Run the Streamlit app**:
+
+    Launch the application using Streamlit:
+
+    ```bash
+    streamlit run app.py
+    ```
+
+## Usage
+
+1. Open the app in your browser (typically, it will open automatically at `http://localhost:8501`).
+2. Enter your query in the "Enter Text Here" text box on the left-hand side.
+3. Click the **Generate** button to send your query.
+4. Wait for the response to be generated. The response will appear on the right-hand side under **Response**.
+
+## Project Structure
+
+```plaintext
+.
+├── .env                 # API keys for OpenAI and Lyzr
+├── app.py               # Main application code
+├── requirements.txt     # Python dependencies
+└── README.md            # This readme file

AI Twitter Manager/app.py

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+import os
+from lyzr_agent import LyzrAgent
+import streamlit as st
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+LYZR_API_KEY = os.getenv("LYZR_API_KEY")
+AGENT_ID = os.getenv("AGENT_ID")
+
+# Streamlit page configuration
+st.set_page_config(
+    page_title="Lyzr Twitter Agent",
+    layout="wide",  # Set the layout to wide
+    initial_sidebar_state="auto",
+    page_icon="lyzr-logo-cut.png",
+)
+
+
+# Set up two columns for input and output areas
+col1, col2 = st.columns([1, 1])  # Adjust the ratio to match the design in the image
+
+with col1:
+    st.markdown("## Lyzr Twitter Agent")
+
+    # Input area for the query
+    query = st.text_area("Enter Text Here", height=150)
+
+    # Generate button
+    if st.button("Generate"):
+        if query.strip():
+            with st.spinner("🕵🏼‍Researching About Your Topic..."):
+                # Initialize the LyzrAgent
+                Agent = LyzrAgent(api_key=LYZR_API_KEY, llm_api_key=OPENAI_API_KEY)
+                with st.spinner("⚙️Executing Your Tasks...."):
+                    response = Agent.send_message(
+                        agent_id=AGENT_ID,
+                        user_id="7422",
+                        session_id="IITV",
+                        message=query
+                    )
+                    st.markdown("🤯Research Completed")
+                    st.markdown("✅Your Task Is Completed")
+
+                # Display the response in the second column
+                with col2:
+                    st.markdown("## Response:")
+                    st.markdown(f"**Thoughts:**\n\n{response}")
+        else:
+            st.warning("Please provide Text")
+
+# Optional footer
+st.markdown("---")
+st.markdown("Powered by Lyzr and OpenAI")

AI Twitter Manager/lyzr_agent.py

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+import requests
+import json
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+LYZR_URL = os.getenv("LYZR_URL")
+
+class LyzrAgent:
+    def __init__(self, api_key, llm_api_key):
+        self.url = str(LYZR_URL)
+        self.headers = {
+            "accept": "application/json",
+            "x-api-key": api_key
+        }
+        self.llm_api_key = llm_api_key
+
+    def create_environment(self, name, features, tools):
+        payload = json.dumps({
+            "name": name,
+            "features": features,
+            "tools": tools,
+            "llm_api_key": self.llm_api_key
+        })
+
+        url = self.url + "environment"
+
+        response = requests.post(url, headers=self.headers, data=payload)
+
+        if response.status_code == 200:
+            return response.json()
+        else:
+            print(f"Error: {response.status_code} - {response.text}")
+            return None
+
+    def create_agent(self, env_id, system_prompt, name):
+        payload = json.dumps({
+            "env_id": env_id,
+            "system_prompt": system_prompt,
+            "name": name,
+            "agent_persona": "",
+            "agent_instructions": "",
+            "agent_description": ""
+        })
+
+        url = self.url + "agent"
+
+        response = requests.post(url, headers=self.headers, data=payload)
+
+        if response.status_code == 200:
+            return response.json()
+        else:
+            print(f"Error: {response.status_code} - {response.text}")
+            return None
+
+    def send_message(self, agent_id, user_id, session_id, message):
+        payload = json.dumps({
+            "user_id": user_id,
+            "agent_id": agent_id,
+            "session_id": session_id,
+            "message": message
+        })
+
+        url = self.url + "chat/"
+
+        response = requests.post(url, headers=self.headers, data=payload)
+
+        if response.status_code == 200:
+            return response.json()
+        else:
+            print(f"Error: {response.status_code} - {response.text}")
+            return None
+
+    def create_task(self, agent_id, session_id, input_message):
+        payload = json.dumps({
+            "agent_id": agent_id,
+            "session_id": session_id,
+            "input": input_message
+        })
+
+        url = self.url + "task"
+
+        response = requests.post(url, headers=self.headers, data=payload)
+
+        if response.status_code == 200:
+            return response.json()
+        else:
+            print(f"Error: {response.status_code} - {response.text}")
+            return None

AI Twitter Manager/requirements.txt

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+streamlit
+python-dotenv