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| import streamlit as st | |
| from g4f.client import Client | |
| client = Client() | |
| st.title("GPT-4o-Mini") | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| for message in st.session_state['messages']: | |
| with st.chat_message(message['role']): | |
| st.markdown(message['content']) | |
| if prompt := st.chat_input("Enter a prompt"): | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| with st.chat_message("user"): | |
| st.markdown(prompt) | |
| with st.chat_message("assistant"): | |
| chatbot_msg = st.empty() | |
| full_response = "" | |
| stream = client.chat.completions.create( | |
| model="gpt-4o-mini", | |
| messages=[ | |
| {"role": msg["role"], "content": msg["content"]} | |
| for msg in st.session_state['messages'] | |
| ], | |
| stream=True | |
| ) | |
| for chunk in stream: | |
| token = chunk.choices[0].delta.content | |
| if token is not None: | |
| full_response += token | |
| chatbot_msg.markdown(full_response) | |
| chatbot_msg.markdown(full_response) | |
| st.session_state.messages.append({"role": "assistant", "content": full_response}) | |