enpaiva commited on
Commit
770f7e9
·
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1 Parent(s): 224a105

Update app.py

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Files changed (1) hide show
  1. app.py +6 -10
app.py CHANGED
@@ -4,8 +4,8 @@ import os
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  import random
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  import time
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- os.system("pip install gradio, llama_index, ragatouille, llama-cpp-python")
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- os.system("git clone https://github.com/EnPaiva93/think-paraguayo-space-aux.git")
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  os.system("wget https://huggingface.co/thinkPy/gua-a_v0.2-dpo_mistral-7b_GGUF/resolve/main/gua-a_v0.2-dpo_mistral-7b_q4_K_M.gguf -O model.gguf")
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  from llama_cpp import Llama
@@ -46,16 +46,11 @@ llm = Llama(model_path="model.gguf",
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  n_ctx=512,
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  n_threads=2)
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- BASE_PATH = "/home/user/app/think-paraguayo-space-aux/"
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-
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- DOC_PATH = BASE_PATH+"index/"
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  print(os.listdir())
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- os.system("sudo mkdir /content/")
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- os.system("sudo cp -r ./think-paraguayo-space-aux/ /content/")
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-
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- documents = SimpleDirectoryReader(input_files=[BASE_PATH+"libro.txt"]).load_data()
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  parser = SentenceSplitter(chunk_size=128, chunk_overlap=64)
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  nodes = parser.get_nodes_from_documents(
@@ -68,6 +63,7 @@ print(os.getcwd())
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  # if os.path.exists(DOC_PATH):
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  RAG = RAGPretrainedModel.from_pretrained("AdrienB134/ColBERTv2.0-spanish-mmarcoES")
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  RAG = RAG.from_index(DOC_PATH, n_gpu=None)
 
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  # else:
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  # RAG = RAGPretrainedModel.from_pretrained("AdrienB134/ColBERTv2.0-spanish-mmarcoES")
@@ -153,7 +149,7 @@ def launcher():
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  with gr.Row(variant='panel'):
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  with gr.Column(scale=1):
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- gr.Image(value=BASE_PATH+"think_paraguayo.jpeg", type="filepath", label="Imagen Estática")
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  with gr.Column(scale=1):
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  # with gr.Row():
 
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  import random
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  import time
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+ # os.system("pip install gradio, llama_index, ragatouille, llama-cpp-python")
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+ # os.system("git clone https://github.com/EnPaiva93/think-paraguayo-space-aux.git")
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  os.system("wget https://huggingface.co/thinkPy/gua-a_v0.2-dpo_mistral-7b_GGUF/resolve/main/gua-a_v0.2-dpo_mistral-7b_q4_K_M.gguf -O model.gguf")
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  from llama_cpp import Llama
 
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  n_ctx=512,
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  n_threads=2)
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+ DOC_PATH = ".ragatouille/colbert/indexes/index"
 
 
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  print(os.listdir())
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+ documents = SimpleDirectoryReader(input_files=["libro.txt"]).load_data()
 
 
 
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  parser = SentenceSplitter(chunk_size=128, chunk_overlap=64)
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  nodes = parser.get_nodes_from_documents(
 
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  # if os.path.exists(DOC_PATH):
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  RAG = RAGPretrainedModel.from_pretrained("AdrienB134/ColBERTv2.0-spanish-mmarcoES")
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  RAG = RAG.from_index(DOC_PATH, n_gpu=None)
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+ RAG.search("init", None, k=1)
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  # else:
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  # RAG = RAGPretrainedModel.from_pretrained("AdrienB134/ColBERTv2.0-spanish-mmarcoES")
 
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  with gr.Row(variant='panel'):
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  with gr.Column(scale=1):
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+ gr.Image(value="think_paraguayo.jpeg", type="filepath", label="Imagen Estática")
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  with gr.Column(scale=1):
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  # with gr.Row():