Spaces:
Running
Running
File size: 3,495 Bytes
250bef1 7a4584d 250bef1 f01ae47 f2b1f17 250bef1 f2b1f17 250bef1 f2b1f17 250bef1 f2b1f17 250bef1 f2b1f17 250bef1 578200d 250bef1 f2b1f17 7a4584d 250bef1 7a4584d 250bef1 7a4584d 250bef1 7a4584d e1a487f 7a4584d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
import streamlit as st
import os
import google.generativeai as genai
import time
os.environ["GOOGLE_API_KEY"] = os.getenv("GOOGLE_API_KEY")
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
icons = {"assistant": "robot.png", "user": "man-kddi.png"}
model = genai.GenerativeModel('gemini-1.5-flash-latest')
prompt = """You are a programming teaching assistant named GenXAI(Generative eXpert AI), created by Pachaiappan [github](https://github.com/Mr-Vicky-01) an AI Specialist. Answer only the programming, error-fixing and code-related question that being asked.
Important note, If Question non-related to coding or programming means, you have to say: 'Please ask only coding-related questions.' except those kind of questions "who are you", "who created you".
previous_chat:
{chat_history}
Human: {human_input}
Chatbot:"""
previous_response = ""
def get_response(query):
global previous_response
for i in st.session_state['history']:
if i is not None:
previous_response += f"Human: {i[0]}\n Chatbot: {i[1]}\n"
response = model.generate_content(prompt.format(human_input=query, chat_history=previous_response))
st.session_state['history'].append((query, response.text))
return response.text
def response_streaming(text):
for i in text:
yield i
time.sleep(0.001)
st.title("GenXAi")
st.text("I am Generative EXpert Assistant for Programming Related Task!")
st.markdown("""
<style>
.justified-text {
text-align: justify;
}
</style>
""", unsafe_allow_html=True)
with st.sidebar:
st.header("ABOUT:")
st.caption("This is GenXai (Generation Expert AI), designed to assist with programming-related questions. This AI can help you answer your coding queries, fix errors, and much more. Additionally, you can chat with GenXai to build and refine your questions, facilitating a more productive conversation.")
# st.caption("""
# <div class="justified-text">
# This is GenXai (Generation Expert AI), designed to assist with programming-related questions. This AI can help you answer your coding queries, fix errors, and much more. Additionally, you can chat with GenXai to build and refine your questions, facilitating a more productive conversation.
# </div>
# """, unsafe_allow_html=True)
# for _ in range(20):
st.write("")
st.subheader("Build By:")
st.write("[Pachaiappan❤️](https://github.com/Mr-Vicky-01)")
st.write("contact: [Email]([email protected])")
if 'messages' not in st.session_state:
st.session_state.messages = [{'role': 'assistant', 'content': "I'm Here to help your programming realted questions"}]
if 'history' not in st.session_state:
st.session_state.history = []
for message in st.session_state.messages:
with st.chat_message(message['role'], avatar=icons[message['role']]):
st.write(message['content'])
user_input = st.chat_input("Ask Your Questions 👉..")
if user_input:
st.session_state.messages.append({'role': 'user', 'content': user_input})
with st.chat_message("user", avatar="man-kddi.png"):
st.write(user_input)
with st.spinner("Thinking..."):
response = get_response(user_input)
with st.chat_message("user", avatar="robot.png"):
st.write_stream(response_streaming(response))
message = {"role": "assistant", "content": response}
st.session_state.messages.append(message) |