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Download app.py from Zainulabedin1/UI-Design-Problem-Solver: direct link, hf CLI and curl.
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- Download file 2.37 kB
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https://huggingface.co/spaces/Zainulabedin1/UI-Design-Problem-Solver/resolve/main/app.py
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hf download hf://spaces/Zainulabedin1/UI-Design-Problem-Solver/app.py
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curl -L -o app.py https://huggingface.co/spaces/Zainulabedin1/UI-Design-Problem-Solver/resolve/main/app.py
2.37 kB
| import streamlit as st | |
| import requests | |
| import json | |
| # Set up API credentials | |
| API_KEY = "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" | |
| API_URL = "https://api.groq.com/openai/v1/chat/completions" | |
| # Set up Streamlit app | |
| st.title("UI Design Problem Bot & AI Product Manager") | |
| st.write("This is a bot that helps with common UI design problems and product management challenges.") | |
| # Tabs for navigation between the bots | |
| tabs = st.selectbox("Choose a Bot", ["UI Design Problem Solver", "AI Product Manager Bot"]) | |
| # UI Design Problem Solver Bot | |
| if tabs == "UI Design Problem Solver": | |
| st.header("UI Design Problem Solver Bot") | |
| st.write("Ask the bot about UI design problems such as balancing business goals, managing complexity, and more!") | |
| user_input = st.text_input("Your Question:") | |
| if user_input: | |
| # Send the request to the Groq API | |
| response = requests.post( | |
| API_URL, | |
| headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}, | |
| data=json.dumps({ | |
| "model": "llama-3.3-70b-versatile", # Groq model name | |
| "messages": [{"role": "user", "content": user_input}] | |
| }) | |
| ) | |
| if response.status_code == 200: | |
| answer = response.json() | |
| st.write("Bot Response:", answer["choices"][0]["message"]["content"]) | |
| else: | |
| st.write("Error communicating with the API.") | |
| # AI Product Manager Bot | |
| elif tabs == "AI Product Manager Bot": | |
| st.header("AI Product Manager Bot") | |
| st.write("Ask the bot about making design trade-offs or clarifying requirements. You can start by typing your question.") | |
| user_input = st.text_input("Your Question:") | |
| if user_input: | |
| # Send the request to the Groq API | |
| response = requests.post( | |
| API_URL, | |
| headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}, | |
| data=json.dumps({ | |
| "model": "llama-3.3-70b-versatile", # Groq model name | |
| "messages": [{"role": "user", "content": user_input}] | |
| }) | |
| ) | |
| if response.status_code == 200: | |
| answer = response.json() | |
| st.write("Bot Response:", answer["choices"][0]["message"]["content"]) | |
| else: | |
| st.write("Error communicating with the API.") | |