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chat.py
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import ollama
import streamlit as st
import yaml
with open("situation.yaml","r") as file:
situation = yaml.safe_load(file)
location = situation["location"]
filepath = situation['filepath']
avator_profile = situation["avator_profile"]
first_question = situation["first_question"]
st.title("Your AI Girlfriend")
print(filepath)
header_image = filepath
st.image(header_image,caption='Situation',use_column_width=True)
if "messages" not in st.session_state:
st.session_state["messages"] = [{"role":"system","content":avator_profile}]
st.session_state["messages"] = [{"role":"assistant","content":first_question}]
### write Message History
for msg in st.session_state.messages:
if msg["role"] == "user":
st.chat_message(msg["role"],avatar="👨💻").write(msg["content"])
else:
st.chat_message(msg["role"],avatar="😀").write(msg["content"])
## Generator for Streaming Tokens
def generate_response():
response = ollama.chat(model='llama3', stream=True,messages=st.session_state.messages)
print(response)
for partial_resp in response:
token = partial_resp["message"]["content"]
st.session_state["full_message"] += token
yield token
if prompt := st.chat_input():
st.session_state.messages.append({"role":"user","content":prompt})
st.chat_message("user",avatar="👨💻").write(prompt)
st.session_state["full_message"] = ""
st.chat_message("assistant",avatar="😀").write_stream(generate_response)
st.session_state.messages.append({"role":"assistant","content":st.session_state["full_message"]})
import ollama
import streamlit as st
import yaml
with open("situation.yaml", "r") as file:
situation = yaml.safe_load(file)
location = situation["location"]
filepath = situation["filepath"]
avator_profile = situation["avator_profile"]
first_question = situation["first_question"]
#--------------------------------------------
st.title("Your AI GirlFriend")
print(filepath)
# Add a header image
header_image = filepath
st.image(header_image, caption='Situation', use_column_width=True)
if "messages" not in st.session_state:
st.session_state["messages"] = [{"role": "system", "content": avator_profile}]
st.session_state["messages"] = [{"role": "assistant", "content": first_question}]
### Write Message History
for msg in st.session_state.messages:
if msg["role"] == "user":
st.chat_message(msg["role"], avatar="🧑💻").write(msg["content"])
else:
st.chat_message(msg["role"], avatar="😃").write(msg["content"])
## Generator for Streaming Tokens
def generate_response():
response = ollama.chat(model='llama3', stream=True, messages=st.session_state.messages)
print(response)
for partial_resp in response:
token = partial_resp["message"]["content"]
st.session_state["full_message"] += token
yield token
if prompt := st.chat_input():
st.session_state.messages.append({"role": "user", "content": prompt})
st.chat_message("user", avatar="🧑💻").write(prompt)
st.session_state["full_message"] = ""
st.chat_message("assistant", avatar="😃").write_stream(generate_response)
st.session_state.messages.append({"role": "assistant", "content": st.session_state["full_message"]})