Synthia-Unity

SynthiaGPT leverages Google's Gemini & the Hugging Face Transformers library to interact with a pre-trained GPT-2 model. It employs TensorFlow for model management and AutoTokenizer for efficient tokenization. The script enables users to input prompts interactively, generating text responses from the GPT-2 model. To improve the user experience, unnecessary warning messages related to the transformers library are effectively suppressed.

Scripts:

• main.py: The selection menu for SynthiaGPT
• app.py: Run SynthiaGPT as a web-server
• redirect.py: Redirect to main.py

/scripts/

• gemini.py: Run SynthiaGPT with Gemini
• gemini_t2s.py: Run SynthiaGPT with Gemini and text-to-speech functionality
• transformer.py: Run SynthiaGPT
• transformer_t2s.py: Run SynthiaGPT with text-to-speech functionality
• transformer_s2t2s.py: Run SynthiaGPT with speech-to-text-to-speech functionality
• transformer_webcam.py: Run SynthiaGPT with webcam functionality
• install_dependencies.py: Install dependencies

/scripts/system

• generate_text.py: The GPT text generator
• greeting.py: Greets the user
• clean_text.py: Clean text from recorded voice audio
• stt.py: Speech-to-text
• tts.py: Text-to-speech
• capture_photo.py: Capture photo with a webcam
• play_audio.py: Play generated audio

Requirements:

transformers==4.37.1
tensorflow==2.14.0
torch==2.1.1
torchvision==0.16.1
torchaudio==2.1.1
flask==3.0.0
gtts==2.5.0
pyaudio==0.2.14 
pydub==0.25.1
beautifulsoup4==4.10.0
SpeechRecognition==3.10.1
pygame==2.5.2
google-generativeai==0.3.2

How to Run:

pip install -r requirements.txt

pip install torch torchvision torchaudio

python main.py

python app.py

• GloriosaAI Repository
• Gender-Age-ID Repository
• Detect-Face Repository
• Image-Generator Repository