Download src/streamlit_app.py from SandyBot/Chat-Bot: direct link, hf CLI and curl.
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- Download file 1.35 kB
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https://huggingface.co/spaces/SandyBot/Chat-Bot/resolve/main/src/streamlit_app.py
- Command line
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hf download hf://spaces/SandyBot/Chat-Bot/src/streamlit_app.py
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curl -L -o streamlit_app.py https://huggingface.co/spaces/SandyBot/Chat-Bot/resolve/main/src/streamlit_app.py
1.35 kB
| import streamlit as st | |
| from rag_chain import get_rag_chain | |
| st.set_page_config(page_title="Cricket Chat", page_icon="🏏") | |
| st.title("YouTube Video Chatbot") | |
| video_id = st.text_input("Enter YouTube video ID (e.g. Gfr50f6ZBvo)") | |
| if video_id and st.session_state.get("current_video") != video_id: | |
| with st.spinner("Processing transcript..."): | |
| try: | |
| st.session_state.chain = get_rag_chain(video_id) | |
| st.session_state.current_video = video_id | |
| st.session_state.messages = [] | |
| st.success("Ready! Ask away.") | |
| except ValueError as e: | |
| st.error(str(e)) | |
| st.stop() | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| for msg in st.session_state.messages: | |
| with st.chat_message(msg["role"]): | |
| st.markdown(msg["content"]) | |
| if "chain" in st.session_state: | |
| if prompt := st.chat_input("Ask about the video..."): | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| with st.chat_message("user"): | |
| st.markdown(prompt) | |
| with st.chat_message("assistant"): | |
| with st.spinner("Thinking..."): | |
| response = st.session_state.chain.invoke(prompt) | |
| st.markdown(response) | |
| st.session_state.messages.append({"role": "assistant", "content": response}) |