Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,58 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# 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])),
-    ))
+from langchain.chat_models import ChatOpenAI
+from langchain.memory import ConversationBufferMemory
+from langchain.chains import ConversationChain
+import os
+
+# Set your OpenAI API Key
+os.environ["OPENAI_API_KEY"] = "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"
+
+# 🌐 OpenRouter base URL
+OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"
+
+# 🤖 Choose model (you can change this)
+MODEL_NAME = "openai/gpt-oss-120b:free"
+
+# Initialize LLM
+llm = ChatOpenAI(
+    model=MODEL_NAME,
+    temperature=0.7,
+    base_url=OPENROUTER_BASE_URL
+)
+
+
+# Memory (stores conversation)
+memory = ConversationBufferMemory()
+
+# Conversation chain
+conversation = ConversationChain(
+    llm=llm,
+    memory=memory,
+    verbose=True
+)
+
+# Streamlit UI
+st.set_page_config(page_title="Simple Chatbot", page_icon="🤖")
+st.title("🤖 Simple LangChain Chatbot")
+
+# Session state for chat history
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+# User input
+user_input = st.text_input("You:", placeholder="Ask something...")
+
+if user_input:
+    # Get response from LangChain
+    response = conversation.predict(input=user_input)
+
+    # Store chat
+    st.session_state.chat_history.append(("You", user_input))
+    st.session_state.chat_history.append(("Bot", response))
+
+# Display chat history
+for role, text in st.session_state.chat_history:
+    if role == "You":
+        st.markdown(f"**🧑 You:** {text}")
+    else:
+        st.markdown(f"**🤖 Bot:** {text}")