Create app.py

app.py

@@ -0,0 +1,48 @@
+import streamlit as st
+from langchain import PromptTemplate, LLMChain
+from langchain.memory import StreamlitChatMessageHistory
+from streamlit_chat import message
+import numpy as np
+from langchain.chains import LLMChain
+from langchain.prompts import PromptTemplate
+from langchain.memory import ConversationBufferMemory
+from langchain.memory.chat_message_histories import StreamlitChatMessageHistory
+from streamlit.components.v1 import html
+from langchain import HuggingFaceHub
+
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
+st.set_page_config(page_title="Open AI Chat Assistant", layout="wide")
+st.subheader("Open AI Chat Assistant: Life Enhancing with AI!")
+
+css_file = "main.css"
+with open(css_file) as f:
+    st.markdown("<style>{}</style>".format(f.read()), unsafe_allow_html=True)
+
+HUGGINGFACEHUB_API_TOKEN = os.getenv('HUGGINGFACEHUB_API_TOKEN')
+repo_id = os.environ.get('repo_id')
+
+llm = HuggingFaceHub(repo_id=repo_id,
+                     model_kwargs={"min_length":100,
+                                   "max_new_tokens":1024, "do_sample":True,
+                                   "temperature":0.1,
+                                   "top_k":50,
+                                   "top_p":0.95, "eos_token_id":49155})
+
+prompt_template = """You are a very helpful AI assistant. Please response to the user's input question with as many details as possible.
+Question: {user_question}
+Helpufl AI AI Repsonse:
+"""  
+llm_chain = LLMChain(llm=llm, prompt=PromptTemplate.from_template(prompt_template))
+
+user_query = st.text_input("Enter your query here:")
+with st.spinner("AI Thinking...Please wait a while to Cheers!"):
+    if user_query != "":
+        initial_response=llm_chain.run(user_query)
+        temp_ai_response_1=initial_response.partition('<|end|>\n<|user|>\n')[0]
+        temp_ai_response_2=temp_ai_response_1.replace('<|end|>\n<|assistant|>\n', '') 
+        final_ai_response=temp_ai_response_2.replace('<|end|>\n<|system|>\n', '')         
+        st.write("AI Response:")
+        st.write(final_ai_response)