Download app.py from wintergw/chatbox: direct link, hf CLI and curl.
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- Download file 1.04 kB
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https://huggingface.co/spaces/wintergw/chatbox/resolve/main/app.py
- Command line
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hf download hf://spaces/wintergw/chatbox/app.py
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curl -L -o app.py https://huggingface.co/spaces/wintergw/chatbox/resolve/main/app.py
1.04 kB
| import streamlit as st | |
| import requests | |
| import os | |
| def deepseek_chat(prompt): | |
| response = requests.post( | |
| "https://api.siliconflow.cn/v1/chat/completions", | |
| headers={"Authorization": f"Bearer {os.getenv('DEEPSEEK_API_KEY')}"}, | |
| json={ | |
| "model": "deepseek-ai/DeepSeek-R1", | |
| "messages": [{"role": "user", "content": prompt}], | |
| "temperature": 0.7 | |
| } | |
| ) | |
| return response.json()["choices"][0]["message"]["content"] | |
| st.title("DeepSeek Chat") | |
| user_input = st.chat_input("Ask something...") | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| for msg in st.session_state.messages: | |
| st.chat_message(msg["role"]).write(msg["content"]) | |
| if user_input: | |
| st.session_state.messages.append({"role": "user", "content": user_input}) | |
| st.chat_message("user").write(user_input) | |
| response = deepseek_chat(user_input) | |
| st.session_state.messages.append({"role": "assistant", "content": response}) | |
| st.chat_message("assistant").write(response) | |