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Update app.py
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app.py
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@@ -1,6 +1,59 @@
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import streamlit as st
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# Initialize chat history
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if "messages" not in st.session_state:
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@@ -13,14 +66,19 @@ for message in st.session_state.messages:
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# React to user input
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if prompt := st.chat_input("What is up?"):
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# Display user message in chat message container
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st.chat_message("user").markdown(prompt)
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Display assistant response in chat message container
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with st.chat_message("assistant"):
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st.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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import streamlit as st
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import os
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import google.generativeai as genai
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genai.configure(api_key=os.environ["GEMINI_API_KEY"])
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# Create the model
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# See https://ai.google.dev/api/python/google/generativeai/GenerativeModel
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generation_config = {
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"temperature": 1,
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"top_p": 0.95,
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"top_k": 64,
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"max_output_tokens": 8192,
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"response_mime_type": "text/plain",
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}
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safety_settings = [
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{
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"category": "HARM_CATEGORY_HARASSMENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE",
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},
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{
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"category": "HARM_CATEGORY_HATE_SPEECH",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE",
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},
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{
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"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE",
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},
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{
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"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE",
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},
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]
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model = genai.GenerativeModel(
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model_name="gemini-1.5-flash-latest",
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safety_settings=safety_settings,
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generation_config=generation_config,
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)
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chat_session = model.start_chat(
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history=[]
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)
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# response = chat_session.send_message("INSERT_INPUT_HERE")
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# print(response.text)
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# print(chat_session.history)
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st.title("Gemini 1.5")
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# Initialize chat history
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if "messages" not in st.session_state:
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# React to user input
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if prompt := st.chat_input("What is up?"):
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# Display user message in chat message container
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st.chat_message("user").markdown(prompt)
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Response
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response = chat_session.send_message(prompt)
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# Display assistant response in chat message container
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with st.chat_message("assistant"):
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st.markdown(response.text)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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