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README.md

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## File structure
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.
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├── Dockerfile.app - template to run the gradio dashboard.
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├── Dockerfile.ollama - template to run the ollama server.
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├── docker-compose.yml - use the ollama project and gradio dashboard.
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├── docker-compose-codecarbon.yml - use the codecarbon project, ollama and gradio dashboard.
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├── .env - This file contains the environment variables for the project. (Not included in the repository)
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├── app.py - the function_call.py using gradio as the User Interface.
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├── Makefile - This file contains the commands to run the project.
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├── README.md - This file contains the project documentation. This is the file you are currently reading.
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├── requirements.txt - This file contains the dependencies for the project.
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├── summary.png - How function calling works with a diagram.
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├── tests - This directory contains the test files for the project.
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│ ├── __init__.py - This file initializes the tests directory as a package.
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│ ├── test_cases.py - This file contains the test cases for the project.
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│ └── test_run.py - This file contains the code to run the test cases for the function calling LLM.
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└── utils - This directory contains the utility files for the project.
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│ ├── __init__.py - This file initializes the utils directory as a package.
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│ ├── function_call.py - This file contains the code to call a function using LLMs.
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│ └── communication_apis.py - This file contains the code to do with communication apis & experiments.
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| └── models.py - This file contains pydantic schemas for vision models.
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| └── constants.py - This file contains system prompts to adjust the model's behavior.
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└── voice_stt_mode.py - Gradio tabbed interface with Speech-to-text interface that allows edits and a text interface.
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.
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├── Dockerfile.app - template to run the gradio dashboard.
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├── Dockerfile.ollama - template to run the ollama server.
34+
├── docker-compose.yml - use the ollama project and gradio dashboard.
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├── docker-compose-codecarbon.yml - use the codecarbon project, ollama and gradio dashboard.
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├── .env - This file contains the environment variables for the project. (Not included in the repository)
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├── app.py - the function_call.py using gradio as the User Interface.
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├── Makefile - This file contains the commands to run the project.
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├── README.md - This file contains the project documentation. This is the file you are currently reading.
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├── requirements.txt - This file contains the dependencies for the project.
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├── summary.png - How function calling works with a diagram.
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├── tests - This directory contains the test files for the project.
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│ ├── __init__.py - This file initializes the tests directory as a package.
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│ ├── test_cases.py - This file contains the test cases for the project.
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│ └── test_run.py - This file contains the code to run the test cases for the function calling LLM.
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└── utils - This directory contains the utility files for the project.
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│ ├── __init__.py - This file initializes the utils directory as a package.
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│ ├── function_call.py - This file contains the code to call a function using LLMs.
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│ └── communication_apis.py - This file contains the code to do with communication apis & experiments.
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| └── models.py - This file contains pydantic schemas for vision models.
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| └── constants.py - This file contains system prompts to adjust the model's behavior.
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└── voice_stt_mode.py - Gradio tabbed interface with Speech-to-text interface that allows edits and a text interface.
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### Attribution
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* This project uses the Qwen2.5-0.5B model developed by Alibaba Cloud under the Apache License 2.0. The original project can be found at [Qwen technical report](https://arxiv.org/abs/2412.15115)

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