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| 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 [linkdin](https://www.linkedin.com/in/pachaiappan) 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 greeting and 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.caption("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(""" | |
| <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(17): | |
| st.write("") | |
| st.subheader("Build By:") | |
| st.write("[Pachaiappan❤️](https://mr-vicky-01.github.io/Portfolio)") | |
| st.write("contact: [Email](mailto:pachaiappan1102@gamil.com)") | |
| 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) |