Update app.py

app.py

@@ -1,16 +1,16 @@
-# !pip -q install git+https://github.com/huggingface/transformers # need to install from github
-!pip install -q datasets loralib sentencepiece
-!pip -q install bitsandbytes accelerate xformers
-!pip -q install langchain
-!pip -q install gradio
+# # !pip -q install git+https://github.com/huggingface/transformers # need to install from github
+# !pip install -q datasets loralib sentencepiece
+# !pip -q install bitsandbytes accelerate xformers
+# !pip -q install langchain
+# !pip -q install gradio
 
-!pip -q install peft chromadb
-!pip -q install unstructured
-!pip install -q sentence_transformers
-!pip -q install pypdf
+# !pip -q install peft chromadb
+# !pip -q install unstructured
+# !pip install -q sentence_transformers
+# !pip -q install pypdf
 
-from google.colab import drive
-drive.mount('/content/drive')
+# from google.colab import drive
+# drive.mount('/content/drive')
 
 """## LLaMA2 7B Chat
 
@@ -27,9 +27,6 @@ bnb_config = BitsAndBytesConfig(load_in_4bit=True,
 
 model_id = "meta-llama/Llama-2-7b-chat-hf"
 
-#daryl149/llama-2-7b-chat-hf
-#meta-llama/Llama-2-7b-chat-hf
-
 tokenizer = AutoTokenizer.from_pretrained(model_id,token='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')
 model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config = bnb_config,device_map={"":0},token='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')
 
@@ -55,7 +52,7 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores import Chroma
 from langchain.document_loaders import PyPDFLoader
 
-loader = PyPDFLoader("/content/drive/MyDrive/Gen AI and LLM/data/data.pdf")
+loader = PyPDFLoader("/data/data.pdf")
 
 text_splitter = RecursiveCharacterTextSplitter(
     # Set a really small chunk size, just to show.