Create app.py

app.py

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+
+# 2️⃣ SET API KEY (SECRET STYLE)
+# 👉 apni API key yahan paste karo
+# =====================================
+import os
+os.environ["GROQ_API_KEY"] = "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"
+
+# =====================================
+# 3️⃣ IMPORTS
+# =====================================
+import gradio as gr
+from groq import Groq
+
+# =====================================
+# 4️⃣ LOAD API KEY FROM ENV
+# =====================================
+API_KEY = os.environ.get("GROQ_API_KEY")
+
+# =====================================
+# 5️⃣ CORE FUNCTION
+# =====================================
+def codegenie_chat(user_prompt):
+    if not API_KEY:
+        return "❌ GROQ_API_KEY not found."
+
+    if not user_prompt or user_prompt.strip() == "":
+        return "❌ Please enter a programming request."
+
+    try:
+        client = Groq(api_key=API_KEY)
+
+        system_prompt = """
+You are CodeGenie – an AI Programming Assistant.
+
+Capabilities:
+- Automatic programming language detection
+- Multi-language code generation
+- Basic programs and DSA support
+- Simple code explanation
+- Clean and readable output
+"""
+
+        response = client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": user_prompt}
+            ],
+            temperature=0.3,
+        )
+
+        return response.choices[0].message.content
+
+    except Exception as e:
+        return f"❌ Error:\n{str(e)}"
+
+# =====================================
+# 6️⃣ GRADIO UI
+# =====================================
+with gr.Blocks(theme=gr.themes.Soft()) as app:
+    gr.Markdown("""
+    # 🤖 CodeGenie – AI Programming Assistant  
+    *Code • DSA • Explanation • Multi-language*  
+    Google Colab Version 🚀
+    """)
+
+    user_input = gr.Textbox(
+        label="💻 Enter your programming request",
+        placeholder="e.g. Write Python code for stack using array with explanation",
+        lines=4
+    )
+
+    generate_btn = gr.Button("🚀 Generate Code")
+
+    output_box = gr.Markdown()
+
+    generate_btn.click(
+        fn=codegenie_chat,
+        inputs=user_input,
+        outputs=output_box
+    )
+
+app.launch(share=True)