Download app.py from AliZain1/chatbot: direct link, hf CLI and curl.
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https://huggingface.co/spaces/AliZain1/chatbot/resolve/main/app.py
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hf download hf://spaces/AliZain1/chatbot/app.py
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curl -L -o app.py https://huggingface.co/spaces/AliZain1/chatbot/resolve/main/app.py
1.07 kB
| # Q&A Chatbot | |
| import streamlit as st | |
| import os | |
| import pathlib | |
| import textwrap | |
| from langchain_google_genai import ChatGoogleGenerativeAI | |
| import google.generativeai as genai | |
| from IPython.display import display | |
| from IPython.display import Markdown | |
| def to_markdown(text): | |
| text = text.replace('•', ' *') | |
| return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True)) | |
| # os.getenv("GOOGLE_API_KEY") | |
| #genai.configure(api_key=GOOGLE_API_KEY) | |
| genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
| ## Function to load OpenAI model and get respones | |
| def get_gemini_response(question): | |
| model = genai.GenerativeModel('gemini-pro') | |
| response = model.generate_content(question) | |
| return response.text | |
| ##initialize our streamlit app | |
| st.set_page_config(page_title="Q&A Demo") | |
| st.header("Gemini Application Made By Innoscope Ai") | |
| input=st.text_input("Input: ",key="input") | |
| submit=st.button("Ask the question") | |
| ## If ask button is clicked | |
| if submit: | |
| response=get_gemini_response(input) | |
| st.subheader("The Response is") | |
| st.write(response) |