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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +22 -32
src/streamlit_app.py
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import altair as alt
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import numpy as np
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import pandas as pd
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import streamlit as st
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forums](https://discuss.streamlit.io).
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""
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"idx": indices,
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"rand": np.random.randn(num_points),
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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.mark_point(filled=True)
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.encode(
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x=alt.X("x", axis=None),
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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import streamlit as st
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from transformers import pipeline
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# Set up chatbot pipeline (you can change the model)
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chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium")
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st.title("Simple Chatbot")
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st.write("Chat with an AI below:")
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# Session state to store the chat history
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if "history" not in st.session_state:
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st.session_state.history = []
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# User input
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user_input = st.text_input("You:", key="input")
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if st.button("Send"):
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if user_input:
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st.session_state.history.append(f"You: {user_input}")
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# Get response from model
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response = chatbot(user_input, max_length=100, pad_token_id=50256)[0]["generated_text"]
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reply = response.split(user_input)[-1].strip()
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st.session_state.history.append(f"Bot: {reply}")
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else:
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st.warning("Please enter a message.")
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# Display conversation
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for line in st.session_state.history:
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st.write(line)
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