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| import os | |
| import requests | |
| import gradio as gr | |
| # Retrieve the API key from the environment variable | |
| groq_api_key = os.getenv("GROQ_API_KEY") | |
| if not groq_api_key: | |
| raise ValueError("GROQ_API_KEY is missing! Set it in the Hugging Face Spaces 'Secrets'.") | |
| # Define the API endpoint and headers | |
| url = "https://api.groq.com/openai/v1/chat/completions" | |
| headers = {"Authorization": f"Bearer {groq_api_key}"} | |
| # Function to interact with Groq API | |
| def chat_with_groq(user_input): | |
| # Check if question is related to materials science | |
| keywords = [ | |
| "material", "materials", "alloy", "composite", "polymer", "ceramic", | |
| "application", "mechanical properties", "thermal properties", "corrosion", | |
| "creep", "fatigue", "strength", "tensile", "impact", "fracture", "modulus" | |
| ] | |
| if not any(word in user_input.lower() for word in keywords): | |
| return "⚠️ I am an expert in Materials Science, ask me anything about it and I will try my best to answer. Anything outside, feel free to use ChatGPT! 🙂" | |
| system_prompt = ( | |
| "You are an expert materials scientist. When a user asks about the best materials for a specific application, " | |
| "provide the top 3 material choices. First, list the key properties required for that application. Then show a clean, " | |
| "side-by-side comparison in markdown table format of the three materials, with the properties as rows and materials as columns. " | |
| "Include their relevant mechanical, thermal, and chemical properties. Conclude with a brief summary of which might be best depending on the scenario." | |
| ) | |
| body = { | |
| "model": "llama-3.1-8b-instant", | |
| "messages": [ | |
| {"role": "system", "content": system_prompt}, | |
| {"role": "user", "content": user_input} | |
| ] | |
| } | |
| response = requests.post(url, headers=headers, json=body) | |
| if response.status_code == 200: | |
| base_response = response.json()['choices'][0]['message']['content'] | |
| # Append popular related questions for UAE | |
| popular_questions = ( | |
| "\n\n---\n" | |
| "#### 🔍 Popular related questions in the UAE:\n" | |
| "- What are the best corrosion-resistant materials for marine environments (e.g., desalination)?\n" | |
| "- Which materials are ideal for solar panel coatings and desert heat management?\n" | |
| "- What materials are used for aerospace structures in extreme climates?\n" | |
| "- Best high-strength materials for construction in the Gulf region?\n" | |
| "- What advanced materials are used in electric vehicles and batteries in the UAE?\n" | |
| ) | |
| return base_response + popular_questions | |
| else: | |
| return f"Error: {response.json()}" | |
| # Build improved layout using Gradio Blocks | |
| with gr.Blocks(title="Materials Science Expert Chatbot") as demo: | |
| gr.Markdown("## 🧪 Materials Science Expert\nAsk about the best materials for a specific application.") | |
| with gr.Row(): | |
| user_input = gr.Textbox(lines=2, placeholder="e.g. Best materials for high-temperature turbine blades...", label="Ask your question") | |
| submit_btn = gr.Button("Submit") | |
| output = gr.Markdown() | |
| submit_btn.click(chat_with_groq, inputs=user_input, outputs=output) | |
| # Launch the app | |
| if __name__ == "__main__": | |
| demo.launch() | |