Delete SimpleChatBotQ&A.py

SimpleChatBotQ&A.py

@@ -1,38 +0,0 @@
-# Q&A Chatbot
-from langchain_community.llms import HuggingFaceEndpoint
-from langchain.chains import LLMChain
-from langchain.prompts import PromptTemplate
-
-from dotenv import load_dotenv
-load_dotenv() # take environment variables from .env
-
-import streamlit as st
-import os
-
-## Function to load AI model and get responses. Here I can incorporate prompt template also
-
-def get_model_response(question):
-    llm = HuggingFaceEndpoint(
-        repo_id="mistralai/Mistral-7B-Instruct-v0.2", max_length=128, temperature=0.5)
-    template = """Question: {question}
-    Answer:"""
-    prompt = PromptTemplate.from_template(template)
-    llm_chain = LLMChain(prompt=prompt, llm=llm)
-    response = llm_chain.invoke({"question": question})
-    return response
-
-
-## Initialize our StreamLit app
-st.set_page_config(page_title="Simple Chatbot")
-
-st.header("Langchain Application - Simple Chatbot")
-
-input = st.text_input("Input: ", key="input")
-response = get_model_response(input)
-
-submit = st.button("Ask the question")
-
-## If ask button is clicked
-if submit:
-    st.subheader("The response is: ")
-    st.write(response)