Download apphf.py from airworkx/vertexchat: direct link, hf CLI and curl.
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- Download file 3.18 kB
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https://huggingface.co/airworkx/vertexchat/resolve/main/apphf.py
- Command line
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hf download hf://airworkx/vertexchat/apphf.py
-
curl -L -o apphf.py https://huggingface.co/airworkx/vertexchat/resolve/main/apphf.py
3.18 kB
| import google.generativeai as genai | |
| import streamlit as st | |
| import time | |
| import random | |
| import huggingface_hub | |
| from utils import SAFETY_SETTINGS | |
| st.set_page_config( | |
| page_title="Vertex Chat AI", | |
| page_icon="🔥", | |
| menu_items={ | |
| 'About': "# Forked from https://github.com/omphcompany/geminichat" | |
| } | |
| ) | |
| st.title("Vertex Chat AI") | |
| st.caption("Chatbot, powered by Google Gemini Pro.") | |
| # Hugging Face Hub Integration | |
| repo_id = "airworkx/vertexchat" # Replace with your repo ID | |
| huggingface_token = st.text_input("Hugging Face Token", type='password') | |
| if "history" not in st.session_state: | |
| st.session_state.history = [] | |
| if "app_key" not in st.session_state: | |
| app_key = st.text_input("Your Gemini App Key", type='password') | |
| if app_key: | |
| st.session_state.app_key = app_key | |
| try: | |
| genai.configure(api_key=st.session_state.app_key) | |
| except AttributeError as e: | |
| st.warning("Please Add Your Gemini App Key.") | |
| model = genai.GenerativeModel('gemini-1.5-flash-001') | |
| chat = model.start_chat(history=st.session_state.history) | |
| with st.sidebar: | |
| if st.button("Clear Chat Window", use_container_width=True, type="primary"): | |
| st.session_state.history = [] | |
| st.rerun() | |
| for message in chat.history: | |
| role = "assistant" if message.role == "model" else message.role | |
| with st.chat_message(role): | |
| st.markdown(message.parts[0].text) | |
| if "app_key" in st.session_state and huggingface_token: | |
| if prompt := st.chat_input(""): | |
| prompt = prompt.replace('\n', ' \n') | |
| with st.chat_message("user"): | |
| st.markdown(prompt) | |
| with st.chat_message("assistant"): | |
| message_placeholder = st.empty() | |
| message_placeholder.markdown("Thinking...") | |
| try: | |
| full_response = "" | |
| for chunk in chat.send_message(prompt, stream=True, safety_settings = SAFETY_SETTINGS): | |
| word_count = 0 | |
| random_int = random.randint(5, 10) | |
| for word in chunk.text: | |
| full_response += word | |
| word_count += 1 | |
| if word_count == random_int: | |
| time.sleep(0.05) | |
| message_placeholder.markdown(full_response + "_") | |
| word_count = 0 | |
| random_int = random.randint(5, 10) | |
| message_placeholder.markdown(full_response) | |
| # Save to Hugging Face Hub | |
| huggingface_hub.login(token=huggingface_token) | |
| huggingface_hub.create_repo(repo_id=repo_id, exist_ok=True) | |
| with huggingface_hub.create_commit(repo_id=repo_id, revision="main", message="Added new conversation", commit_message="Added new conversation"): | |
| with open("conversation.txt", "a") as f: | |
| f.write(f"\n**User:** {prompt}\n**Assistant:** {full_response}") | |
| except genai.types.generation_types.BlockedPromptException as e: | |
| st.exception(e) | |
| except Exception as e: | |
| st.exception(e) | |
| st.session_state.history = chat.history |