filipealmeida
commited on
Commit
•
9b74e4d
1
Parent(s):
551ba9b
Switched to using llama_cpp
Browse files- app.py +21 -11
- requirements.txt +1 -4
app.py
CHANGED
@@ -2,12 +2,25 @@ import gradio as gr
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from transformers import pipeline
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import logging
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import re
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logging.getLogger('transformers').setLevel(logging.INFO)
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def generate_text(prompt, example):
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logging.debug(f"Received prompt: {prompt}")
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@@ -19,21 +32,18 @@ def generate_text(prompt, example):
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logging.info(f"Input : {input}")
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output =
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logging.info(f"Generated text: {generated_text}")
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parsed_text = "ERROR"
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if match:
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parsed_text = match.group(1).strip()
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else:
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print("No matching section found.")
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logging.info(f"Parsed text: {parsed_text}")
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return parsed_text
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# Create a Gradio interface
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interface = gr.Interface(
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from transformers import pipeline
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import logging
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import re
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from llama_cpp import Llama
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from huggingface_hub import hf_hub_download
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import sys
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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model_repo="filipealmeida/open-llama-3b-v2-pii-transform"
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model_filename="ggml-model-f16.gguf"
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def download_model():
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print("Downloading model...")
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sys.stdout.flush()
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file = hf_hub_download(
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repo_id=model_repo, filename=model_filename
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)
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print("Downloaded " + file)
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return file
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def generate_text(prompt, example):
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logging.debug(f"Received prompt: {prompt}")
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logging.info(f"Input : {input}")
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output = llm(input, max_tokens=200, stop=["\n"])
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print(output)
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generated_text = output['choices'][0]['text']
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logging.info(f"Generated text: {generated_text}")
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parsed_text = generated_text.split("\n")[0]
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logging.info(f"Parsed text: {parsed_text}")
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return parsed_text
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model = download_model()
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llm = Llama(model_path=model)
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# Create a Gradio interface
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interface = gr.Interface(
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requirements.txt
CHANGED
@@ -1,4 +1 @@
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torch==2.0.1
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bitsandbytes
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accelerate
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llama-cpp-python
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