Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,44 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+from transformers import pipeline
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+st.title("Mental Health Therapy Chatbot")
+
+@st.cache(allow_output_mutation=True)
+def load_model():
+    model_name = "Aneruddha/MentalHealthModel"
+    generator = pipeline("text-generation", model=model_name)
+    return generator
+
+generator = load_model()
+
+# Initialize chat history in session state
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+def generate_response(user_text):
+    outputs = generator(user_text, max_length=150, num_return_sequences=1)
+    response = outputs[0]['generated_text']
+    return response
+
+# Display chat history
+for i, chat in enumerate(st.session_state.chat_history):
+    if chat["role"] == "user":
+        st.markdown(f"**You:** {chat['text']}")
+    else:
+        st.markdown(f"**Therapy Bot:** {chat['text']}")
+
+# User input
+user_input = st.text_input("Your message:", key="input")
+
+if st.button("Send") and user_input.strip():
+    # Add user message to chat history
+    st.session_state.chat_history.append({"role": "user", "text": user_input})
+
+    # Generate bot response
+    with st.spinner("Therapy Bot is typing..."):
+        bot_response = generate_response(user_input)
+    st.session_state.chat_history.append({"role": "bot", "text": bot_response})
+
+    # Clear input box after sending
+    st.session_state.input = ""
+    st.experimental_rerun()