An AI conversation typically involves a user interacting with an AI model to seek information, ask questions, or explore ideas. The AI responds in a conversational manner, aiming to provide relevant and helpful answers based on its training. The conversation can range from casual chats to more in-depth discussions on various topics, such as technology, education, entertainment, and more.
This project is an AI-powered conversation platform designed to simulate human-like dialogues. Using advanced natural language processing models, the platform enables seamless interaction between users and the AI, handling various tasks like customer service, personal assistants, and more.
-
Natural Language Understanding (NLU): The AI can understand and process human language in various contexts.
-
Interactive Conversations: Users can have real-time conversations with the AI.
-
Multiple Language Support: The platform supports multiple languages.
-
Context Awareness: The AI retains context within conversations for more personalized interactions.
-
Customizable: Developers can fine-tune the AI for specific use cases, industries, or domains.
- Clone the repository:
git clone https://github.com/OnlyCR7/CommAI.git
cd CommAI
- Install dependencies:
pip install -r requirements.txt
- Run the AI conversation platform:
python app.py
Frameworks Supported: Flask etc. Languages: Python, JavaScript etc. Libraries: OllamaLLM, langchain_ollama, langchain_core, NumPy, scikit-learn etc.
Once the platform is running, you can initiate a conversation by typing a message in the input field. The AI will respond in real-time based on the context and the conversation flow.
Example conversation:
User: Hello AI?
AI: I am CommAI, Nice to meet you! let's start our conversation.
AI Model
The platform leverages cutting-edge models such as OllamaLLM model, allowing it to generate human-like responses. These models are pre-trained on diverse datasets and fine-tuned for conversational tasks.
Primary colors used in the project:
| Primary: linear-gradient(135deg, #e4b1c4, #b6e1f4) |
|---|
| |Secondary: #e4b1c4, #b6e1f4
You can modify the conversation behavior by adjusting the AI's settings in conversations.json. The configuration allows you to set parameters like response length, temperature (for randomness), and model selection.
1.Fork the repository
2.Create a feature branch (git checkout -b newfeat)
3.Commit your changes (git commit -m 'feature added')
4.Push to the branch (git push origin newfeat)
5.Open a pull request