Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,57 @@
-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])),
-    ))
+import cohere
+
+from dotenv import load_dotenv
+import os
+#load_dotenv(dotenv_path="../.env")  # Adjust path if needed
+load_dotenv()
+api_key = os.getenv("cohere_api_key")
+
+if not api_key:
+    st.error("API Key not found. Check your .env file and path.")
+    st.stop()
+
+co = cohere.ClientV2(api_key=api_key)
+
+st.title("GENAI SDP Chatbot using Cohere")
+
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+user_input = st.text_input("You:", key="user_input")
+
+if st.button("Send") and user_input:
+    st.session_state.chat_history.append({
+        "role": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": user_input
+            }
+        ]
+    })
+
+    response = co.chat(
+        messages=st.session_state.chat_history,
+        temperature=0.3,
+        model="command-a-03-2025",
+    )
+    assistant_reply = response.message.content[0].text
+    st.session_state.chat_history.append({
+        "role": "assistant",
+        "content": [
+            {
+                "type": "text",
+                "text": assistant_reply
+            }
+        ]
+    })
+
+# Display chat history
+
+for msg in st.session_state.chat_history:
+    #print("msg##",msg['message']['content'][0]['text'])
+    role = msg["role"].capitalize()
+    text = msg["content"][0]["text"]
+    #llm_output['message']['content'][0]['text']
+    st.markdown(f"**{role}:** {text}")