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Curiosity Data Analytics
Canada
เข้าร่วมเมื่อ 12 เม.ย. 2024
How to Create Your Own ChatBot w/ Ollama & Streamlit
📝 Topics covered in this video:
- Downloading and installing the Ollama desktop app
- Running commands to manage LLM models locally
- Pulling new models and sending prompts using Ollama
- Creating a local chatbot with Streamlit and Ollama
- Managing chat history with Streamlit's session state
- Streaming responses from the model in real-time
If you enjoyed this video, don’t forget to like, share, and subscribe for more!
#ollama #streamlit #python #chatbot #llm #localmodels #machinelearning #gemma2 #ai #artificialintelligence #pythonlibrary #tutorial #freeai #localai #chatinterface #streamlitpython #deeplearning #opensource #desktopapp #localchatbot #apifree #openai #coding #programming #data #chatgpt #llmtutorial #streamingresponses #sessionstate #pythondev #modeldeployment #aiapplications #howto #tech #datamodels #aiwithoutcloud #llmtools #gemma2chatbot #aiintegration #languagelearningmodel #datascience #developer
- Downloading and installing the Ollama desktop app
- Running commands to manage LLM models locally
- Pulling new models and sending prompts using Ollama
- Creating a local chatbot with Streamlit and Ollama
- Managing chat history with Streamlit's session state
- Streaming responses from the model in real-time
If you enjoyed this video, don’t forget to like, share, and subscribe for more!
#ollama #streamlit #python #chatbot #llm #localmodels #machinelearning #gemma2 #ai #artificialintelligence #pythonlibrary #tutorial #freeai #localai #chatinterface #streamlitpython #deeplearning #opensource #desktopapp #localchatbot #apifree #openai #coding #programming #data #chatgpt #llmtutorial #streamingresponses #sessionstate #pythondev #modeldeployment #aiapplications #howto #tech #datamodels #aiwithoutcloud #llmtools #gemma2chatbot #aiintegration #languagelearningmodel #datascience #developer
มุมมอง: 196
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Image Reader AI w/ Llama3.2-Vision | Ollama & Streamlit
มุมมอง 121วันที่ผ่านมา
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มุมมอง 234หลายเดือนก่อน
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NEW Streamlit 1.40 Release | November 2024
มุมมอง 617หลายเดือนก่อน
In this video, we review the latest Streamlit 1.40 update. Although this release is a bit lighter than previous updates, there are some useful new features to explore! 📝 Topics covered in this video: - Adding pill-style button selections with st.pills - Implementing segmented control for user input - Recording audio directly in your app with st.audio_input - Displaying symbols directly with st....
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In this video, we explore the trends of US presidential elections from 1789 to the upcoming 2024 election using Python and Streamlit. 📝 Topics covered in this video: - Extracting election data by state and nationally from Wikipedia using Pandas - Creating a heatmap to visualize winning parties by state and election year - Mapping state-by-state election results in a historical animated GIF - In...
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In this video, we dive into building an Audio to Insights app using Meta's Generative AI. Learn how to import audio, convert speech to text, and use LLM models to generate insights. We'll explore key features like speech-to-text, topic summarization, translation, search, and Q&A, all powered by Meta's LLama 3.2 model. 📝 Topics covered in this video: - Importing and recording audio with Streamli...
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In this video, we explore the key features of the Streamlit 1.39 update, released last week. 📝 Topics covered in this video: - New audio input component - Enhanced pydeck_chart with user selection events - Icon support in button titles and multi-index headers in st.dataframe - Adjustable map height/width for pydeck_chart - Full-screen toggle for pydeck maps Don't forget to like, share, and subs...
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In this video, we walk through building a data explorer app that uses generative AI to extract insights from a dataset. We’ll integrate the Groq API to create a conversational interface powered by Meta’s Llama3 model. The chatbot will have three core features - Ask, Aggregate and Create - which allow users to extract insights, summarize data, and generate visualizations using Plotly. 📝 Topics c...
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Streamlit 1.38 August 2024 Update | Top 3 Features You Need to Know
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Is designing websites for clients using Streamlite the right thing to do? With Streamlit I can create hotel reservations or doctor appointment systems or whatever But I can't build this project with Django and Flask because it's hard and time consuming Do you think using Streamlite instead of Django and Flask is the right thing to do? Please give your opinion
Streamlit is ideal for quickly building simple apps like hotel reservations or doctor appointment systems like you mention. If you prioritize speed and ease over scalability, it's a solid choice. For complex, scalable apps with advanced user management, Django or Flask is more suitable.
Awesome!
Thanks for watching!
Great video bro Can u plz provide source code?
Hi Can you share the GitHub code for this, thanks.
is thery any feature of streamlit in which if we select multiselect , more than 2 and drop down height increases every time , I know that we can make the drop down scrollablle but is there any way to use in expander , because when we use expander , it will shift all the graph to down , Its okay when you have 4 options but when you have 20 options in expander than it would shifted all the graph upto down ,which is very irritating.
When using st.multiselect(), the drop-down menu only shows around 7 options before having to scroll to see the other options. For example : # options options = ['Option ' + str(i+1) for i in np.arange(0,20,1)] # using multiselect st.multiselect('test', options) But you can tackle this issue by using st.expander(), looping on multiple st.checkbox() and using the st.session_state() to gather all selected options. This way, when you open the expander, all options will be displayed at once. # using expander + checkbox with st.expander('Choose an option'): for i in options: st.checkbox(i, key=i) selected_options = [key for key, value in st.session_state.items() if value is True] st.write(selected_options) Try this and let me know if it works
excellent video, it helped me a lot the information that you my friend passed on, thank you very much
Thanks, glad it could help!