Initial commit

streamlit_app.py

@@ -0,0 +1,79 @@
+import streamlit as st
+import replicate
+import os
+
+# App title
+st.set_page_config(page_title="Chat with Snowflake Arctic")
+
+# Replicate Credentials
+with st.sidebar:
+    st.title('Chat with Snowflake Arctic')
+    if 'REPLICATE_API_TOKEN' in st.secrets:
+        st.success('API token loaded!', icon='✅')
+        replicate_api = st.secrets['REPLICATE_API_TOKEN']
+    else:
+        replicate_api = st.text_input('Enter Replicate API token:', type='password')
+        if not (replicate_api.startswith('r8_') and len(replicate_api)==40):
+            st.warning('Please enter your Replicate API token.', icon='⚠️')
+            st.markdown("**Don't have an API token?** Head over to [Replicate](https://replicate.com) to sign up for one.")
+        else:
+            st.success('API token loaded!', icon='✅')
+
+    os.environ['REPLICATE_API_TOKEN'] = replicate_api
+    st.subheader("Adjust model parameters")
+    temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=5.0, value=0.6, step=0.01)
+    top_p = st.sidebar.slider('top_p', min_value=0.01, max_value=1.0, value=0.9, step=0.01)
+    max_length = st.sidebar.slider('max_length', min_value=32, max_value=128, value=120, step=8)
+
+# Store LLM-generated responses
+if "messages" not in st.session_state.keys():
+    st.session_state.messages = [{"role": "assistant", "content": "Ask me anything"}]
+
+# Display or clear chat messages
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.write(message["content"])
+
+def clear_chat_history():
+    st.session_state.messages = [{"role": "assistant", "content": "Ask me anything"}]
+st.sidebar.button('Clear chat history', on_click=clear_chat_history)
+
+# Function for generating Snowflake Arctic response
+def generate_arctic_response(prompt_input):
+    string_dialogue = "You are a helpful assistant. You do not respond as 'User' or pretend to be 'User.' You only respond once as 'Assistant.'"
+    for dict_message in st.session_state.messages:
+        if dict_message["role"] == "user":
+            string_dialogue += "<|im_start|>user\n" + dict_message["content"] + "\n<|eot_id|>\n"
+        else:
+            string_dialogue += "<|im_start|>assistant\n" + dict_message["content"] + "\n<|eot_id|>\n"
+    
+    for event in replicate.stream("snowflake/snowflake-arctic-instruct",
+                           input={"prompt": f"""
+                                    <|im_start|>system
+                                    You're a helpful assistant<|im_end|>
+                                    <|im_start|>user
+                                    {string_dialogue}
+                                    <|im_end|>
+                                    <|im_start|>assistant
+                                    """,
+                                  "prompt_template": r"{prompt}",
+                                  "temperature": temperature,
+                                  "top_p": top_p,
+                                  "max_length": max_length,
+                                  "repetition_penalty":1}):
+        yield str(event)
+
+# User-provided prompt
+if prompt := st.chat_input(disabled=not replicate_api):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.write(prompt)
+
+# Generate a new response if last message is not from assistant
+if st.session_state.messages[-1]["role"] != "assistant":
+    with st.chat_message("assistant"):
+        with st.spinner("Thinking..."):
+            response = generate_arctic_response(prompt)
+            full_response = st.write_stream(response)
+    message = {"role": "assistant", "content": full_response}
+    st.session_state.messages.append(message)