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ClearLove443
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β’
fab1876
1
Parent(s):
3cc0f37
remove video chat
Browse files
app.py
CHANGED
@@ -1,63 +1,63 @@
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import streamlit as st
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#Config
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st.set_page_config(layout="wide", page_icon="π¬", page_title="Robby | Chat-Bot π€")
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#Contact
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with st.sidebar.expander("π¬ Contact"):
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st.write("**
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"[yvann-hub/Robby-chatbot](https://github.com/yvann-hub/Robby-chatbot)")
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st.write("**Medium:** "
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"[@yvann-hub](https://medium.com/@yvann-hub)")
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st.write("**Twitter:** [@yvann_hub](https://twitter.com/yvann_hub)")
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st.write("**Mail** : [email protected]")
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st.write("**Created by Yvann**")
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#Title
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st.markdown(
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"""
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<h2 style='text-align: center;'>Robby, your data-aware assistant π€</h1>
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""",
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unsafe_allow_html=True,
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st.markdown("---")
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#Description
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st.markdown(
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"""
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<h5 style='text-align:center;'>I'm Robby, an intelligent chatbot created by combining
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the strengths of Langchain and Streamlit. I use large language models to provide
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context-sensitive interactions. My goal is to help you better understand your data.
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I support PDF, TXT, CSV, Youtube transcript π§ </h5>
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""",
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unsafe_allow_html=True
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st.markdown("---")
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#Robby's Pages
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st.subheader("π Robby's Pages")
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st.write(
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- **Robby-Chat**: General Chat on data (PDF, TXT,CSV) with a [vectorstore](https://github.com/facebookresearch/faiss) (index useful parts(max 4) for respond to the user) | works with [ConversationalRetrievalChain](https://python.langchain.com/en/latest/modules/chains/index_examples/chat_vector_db.html)
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- **Robby-Sheet** (beta): Chat on tabular data (CSV) | for precise information | process the whole file | works with [CSV_Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/csv.html) + [PandasAI](https://github.com/gventuri/pandas-ai) for data manipulation and graph creation
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st.markdown("---")
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#Contributing
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st.markdown("### π― Contributing")
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st.markdown(
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**Robby is under regular development. Feel free to contribute and help me make it even more data-aware!**
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""",
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import streamlit as st
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+
# Config
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st.set_page_config(layout="wide", page_icon="π¬", page_title="Robby | Chat-Bot π€")
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# Contact
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with st.sidebar.expander("π¬ Contact"):
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st.write(
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"**GitHub:**",
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"[yvann-hub/Robby-chatbot](https://github.com/yvann-hub/Robby-chatbot)",
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)
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st.write("**Medium:** " "[@yvann-hub](https://medium.com/@yvann-hub)")
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st.write("**Twitter:** [@yvann_hub](https://twitter.com/yvann_hub)")
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st.write("**Mail** : [email protected]")
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st.write("**Created by Yvann**")
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# Title
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st.markdown(
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"""
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<h2 style='text-align: center;'>Robby, your data-aware assistant π€</h1>
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""",
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unsafe_allow_html=True,
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)
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st.markdown("---")
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# Description
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st.markdown(
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"""
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+
<h5 style='text-align:center;'>I'm Robby, an intelligent chatbot created by combining
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the strengths of Langchain and Streamlit. I use large language models to provide
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context-sensitive interactions. My goal is to help you better understand your data.
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I support PDF, TXT, CSV, Youtube transcript π§ </h5>
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""",
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unsafe_allow_html=True,
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)
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st.markdown("---")
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# Robby's Pages
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st.subheader("π Robby's Pages")
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st.write(
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"""
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- **Robby-Chat**: General Chat on data (PDF, TXT,CSV) with a [vectorstore](https://github.com/facebookresearch/faiss) (index useful parts(max 4) for respond to the user) | works with [ConversationalRetrievalChain](https://python.langchain.com/en/latest/modules/chains/index_examples/chat_vector_db.html)
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- **Robby-Sheet** (beta): Chat on tabular data (CSV) | for precise information | process the whole file | works with [CSV_Agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/csv.html) + [PandasAI](https://github.com/gventuri/pandas-ai) for data manipulation and graph creation
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"""
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)
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st.markdown("---")
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# Contributing
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st.markdown("### π― Contributing")
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st.markdown(
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"""
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**Robby is under regular development. Feel free to contribute and help me make it even more data-aware!**
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""",
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unsafe_allow_html=True,
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)
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