Create app.py

app.py

@@ -0,0 +1,49 @@
+import streamlit as st
+import ollama
+
+model_list = ollama.list()
+
+if "model_name" not in st.session_state:
+    st.session_state["model_name"] = "wangrongsheng/aurora"
+
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+with st.sidebar:
+    st.subheader("Settings")
+
+    option = st.selectbox(
+        'Select a model',
+        [model['name'] for model in model_list['models']])
+    st.write('You selected:', option)
+    st.session_state["model_name"] = option
+
+st.title(f"Chat with {st.session_state['model_name']}")
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("What is up?"):
+    
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        for chunk in ollama.chat(
+            model=st.session_state["model_name"],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages
+            ],
+            stream=True,
+        ):
+            if 'message' in chunk and 'content' in chunk['message']:
+                full_response += (chunk['message']['content'] or "")
+                message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    st.session_state.messages.append({"role": "assistant", "content": full_response})