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5cc2255
1
Parent(s):
37ac5ae
Update app.py
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app.py
CHANGED
@@ -8,21 +8,21 @@ genai.configure(api_key="AIzaSyC70u1sN87IkoxOoIj4XCAPw97ae2LZwNM")
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generation_config = {
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"temperature": 0.9,
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"top_p": 1,
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"top_k": 1,
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"max_output_tokens": 2048
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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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@@ -32,46 +32,49 @@ safety_settings = [
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]
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model = genai.GenerativeModel(
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)
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# Chatbot interface
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st.title("Gemini API Chatbot")
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chat_history = st.session_state.get("chat_history", [])
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chat_container = st.container()
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for message in chat_history:
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# Display message
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role = message["role"]
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content = message["content"]
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with chat_container.empty():
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st.markdown(f"**{role}:** {content}")
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# Get user input
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user_input = st.text_input("Ask the assistant")
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if user_input:
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# Process input
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chat_history.append({"role": "user", "content": user_input})
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with chat_container.empty():
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st.markdown(f"**user:** {user_input}")
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# Get response
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with st.spinner("Thinking..."):
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# Process response
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chat_history.append({"role": "assistant", "content": response
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with chat_container.empty():
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st.markdown(f"**assistant:** {response}")
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# Update session state
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st.session_state["chat_history"] = chat_history
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generation_config = {
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"temperature": 0.9,
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"top_p": 1,
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"top_k": 1,
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"max_output_tokens": 2048
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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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]
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model = genai.GenerativeModel(
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model_name="gemini-pro",
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generation_config=generation_config,
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safety_settings=safety_settings
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)
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# Chatbot interface
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st.title("Gemini API Chatbot")
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chat_history = st.session_state.get("chat_history", [])
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chat_container = st.container()
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for message in chat_history:
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# Display message
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role = message["role"]
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content = message["content"]
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with chat_container.empty():
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st.markdown(f"**{role}:** {content}")
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# Get user input
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user_input = st.text_input("Ask the assistant")
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if user_input:
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# Process input
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chat_history.append({"role": "user", "content": user_input})
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# Display input
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with chat_container.empty():
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st.markdown(f"**user:** {user_input}")
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# Get response
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with st.spinner("Thinking..."):
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convo = model.start_chat(history=chat_history)
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response = convo.last.text
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# Process response
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chat_history.append({"role": "assistant", "content": response})
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# Display response
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with chat_container.empty():
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st.markdown(f"**assistant:** {response}")
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# Update session state
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st.session_state["chat_history"] = chat_history
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