Upload app.py
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app.py
CHANGED
@@ -13,12 +13,12 @@ os.environ["AIzaSyBLb8HjkkkcTJXZWwfHQJTQJQHXsylHRVA"] = api_key
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icons = {"assistant": "robot.png", "user": "man-kddi.png"}
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model = genai.GenerativeModel('gemini-1.5-flash-latest')
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prompt = """
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{chat_history}
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previous_response = ""
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def get_response(query):
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@@ -26,7 +26,7 @@ def get_response(query):
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for i in st.session_state['history']:
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if i is not None:
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previous_response += f"
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response = model.generate_content(prompt.format(human_input=query, chat_history=previous_response))
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st.session_state['history'].append((query, response.text))
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@@ -38,8 +38,8 @@ def response_streaming(text):
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yield i
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time.sleep(0.001)
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st.title("
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st.caption("
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st.markdown("""
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<style>
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@@ -50,22 +50,22 @@ st.markdown("""
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""", unsafe_allow_html=True)
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with st.sidebar:
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st.header("
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st.caption("""
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<div class="justified-text">
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</div>
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""", unsafe_allow_html=True)
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for _ in range(17):
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st.write("")
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st.subheader("
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st.write("[
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st.write("
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if 'messages' not in st.session_state:
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st.session_state.messages = [{'role': 'assistant', 'content': "
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if 'history' not in st.session_state:
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st.session_state.history = []
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@@ -74,17 +74,17 @@ for message in st.session_state.messages:
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with st.chat_message(message['role'], avatar=icons[message['role']]):
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st.write(message['content'])
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user_input = st.chat_input("
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if user_input:
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st.session_state.messages.append({'role': 'user', 'content': user_input})
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with st.chat_message("user", avatar="man-kddi.png"):
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st.write(user_input)
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with st.spinner("
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response = get_response(user_input)
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with st.chat_message("user", avatar="robot.png"):
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st.write_stream(response_streaming(response))
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message = {"role": "assistant", "content": response}
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st.session_state.messages.append(message)
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icons = {"assistant": "robot.png", "user": "man-kddi.png"}
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model = genai.GenerativeModel('gemini-1.5-flash-latest')
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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.
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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".
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previous_chat:
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{chat_history}
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Human: {human_input}
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Chatbot:"""
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previous_response = ""
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def get_response(query):
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for i in st.session_state['history']:
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if i is not None:
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previous_response += f"Human: {i[0]}\n Chatbot: {i[1]}\n"
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response = model.generate_content(prompt.format(human_input=query, chat_history=previous_response))
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st.session_state['history'].append((query, response.text))
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yield i
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time.sleep(0.001)
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st.title("GenXAi")
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st.caption("I am Generative EXpert Assistant for Programming Related Task!")
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st.markdown("""
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<style>
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""", unsafe_allow_html=True)
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with st.sidebar:
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st.header("ABOUT:")
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st.caption("""
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<div class="justified-text">
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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.
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</div>
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""", unsafe_allow_html=True)
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for _ in range(17):
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st.write("")
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st.subheader("Build By:")
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st.write("[madji❤️](https://www.facebook.com/madjioff)")
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st.write("contact: [Email](mailto:[email protected])")
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if 'messages' not in st.session_state:
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st.session_state.messages = [{'role': 'assistant', 'content': "I'm Here to help your programming realted questions😉"}]
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if 'history' not in st.session_state:
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st.session_state.history = []
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with st.chat_message(message['role'], avatar=icons[message['role']]):
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st.write(message['content'])
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user_input = st.chat_input("Ask Your Questions 👉..")
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if user_input:
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st.session_state.messages.append({'role': 'user', 'content': user_input})
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with st.chat_message("user", avatar="man-kddi.png"):
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st.write(user_input)
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with st.spinner("Thinking..."):
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response = get_response(user_input)
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with st.chat_message("user", avatar="robot.png"):
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st.write_stream(response_streaming(response))
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message = {"role": "assistant", "content": response}
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st.session_state.messages.append(message)
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