Update app.py

app.py

@@ -4,7 +4,7 @@ from langchain.prompts import PromptTemplate
 # Use a pipeline as a high-level helper
 from transformers import pipeline
 
-CTransformers = pipeline("text-generation", model="TheBloke/Llama-2-7B-Chat-GGML")
+model_from_hugging_face = pipeline("text-generation", model="TheBloke/Llama-2-7B-Chat-GGML")
 # # from langchain.llms import CTransformers
 # from langchain_community.llms import CTransformers
 
@@ -23,7 +23,7 @@ def getLLMResponse(form_input,email_sender,email_recipient,email_style):
 
     #C Transformers is the Python library that provides bindings for transformer models implemented in C/C++ using the GGML library
 
-    llm = CTransformers(model='models/llama-2-7b-chat.ggmlv3.q8_0.bin',     #https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
+    llm = CTransformers(model_from_hugging_face # models/llama-2-7b-chat.ggmlv3.q8_0.bin,     #https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
                     model_type='llama',
                     config={'max_new_tokens': 256,
                             'temperature': 0.01})