paper2go_default.ini

[LISTENABLE]
model = llama3:instruct
host = http://localhost:11434
filters = acknowledgment,references,keywords
system_prompt = You are a expert for providing text summarizes that are concise and accurate. You are especially good at keeping all important details.
user_prompt_template = Take into account the context delimited by triple backquotes.

        ```{context}```

        Take the text delimited by triple backquotes and rewrite it for text to speech. Thus, describe all formulas and tables verbally. Only respond with the rewrite. Do not add any other text.

        ```{text}```

[TTS]
voice = voices/Default
tts_method = TTS_FISH

[TTS_FISH]
generate_py = models/fish-speech/tools/llama/generate.py
inference_py = models/fish-speech/tools/vqgan/inference.py
fishspeech_chkp_path = models/fish-speech-1.5
generator_pth = models/fish-speech-1.5/firefly-gan-vq-fsq-8x1024-21hz-generator.pth
num_samples = 1
top_p = 0.7
repetition_penalty = 1.2
temperature = 0.7
seed = 42
chunk_length = 100
compile = True
default_voice = 

[TTS_XTTSv2]
model = tts_models/multilingual/multi-dataset/xtts_v2
default_voice = models/XTTS-v2/samples/en_sample.wav
speed = 1.0
split_sentences = True
lang = en
emotion = neutral

[TTS_OPENAI]
api_key = invalid-because-we-use-it-locally
base_url = http://localhost:8000/v1
model = tts-1
voice = alloy
speed = 1.0