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sadiaafzaal/programming_chatbot

sourceHugging Facemitupdated 1y agoView on Hugging Face
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app.py53 linesDownload Raw Back to root
1# app.py2 3import os4import requests5import gradio as gr6 7# Get the Groq API key from secret environment variable8GROQ_API_KEY = os.getenv("GROQ_API_KEY")9 10MODEL_NAME = "llama3-8b-8192"11 12system_prompt = (13    "You are CodeMentor, a friendly tutor who helps beginners learn programming step by step. "14    "Explain clearly with examples, and format important keywords and headings using **bold markdown** to make your response easy to read."15)16 17def chat_with_groq(user_input):18    url = "https://api.groq.com/openai/v1/chat/completions"19 20    headers = {21        "Authorization": f"Bearer {GROQ_API_KEY}",22        "Content-Type": "application/json"23    }24 25    data = {26        "model": MODEL_NAME,27        "messages": [28            {"role": "system", "content": system_prompt},29            {"role": "user", "content": user_input}30        ]31    }32 33    try:34        response = requests.post(url, headers=headers, json=data)35        result = response.json()36        return result['choices'][0]['message']['content']37    except Exception as e:38        return f"โŒ Error: {str(e)}"39 40# Gradio UI41demo = gr.Interface(42    fn=chat_with_groq,43    inputs=gr.Textbox(lines=2, placeholder="Ask a programming question..."),44    outputs=gr.Markdown(),45    title="๐Ÿ‘จโ€๐Ÿซ CodeMentor โ€“ Programming Tutor Chatbot (Groq + LLaMA3)",46    description="Learn programming from zero to hero. Powered by Groq API and LLaMA 3."47)48 49# ๐Ÿ”ง Hugging Face-compatible launch50if __name__ == "__main__":51    demo.launch(server_name="0.0.0.0", server_port=7860)52 53