New app

app.py

@@ -1,7 +1,33 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Use a small model to start (you can swap later for stronger ones like Mixtral)
+pipe = pipeline("text-generation", model="mistralai/Mixtral", max_new_tokens=200)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def explain_code(code, level):
+    prompt = f"Explain what the following {level.lower()} code does:\n\n{code}\n\nExplanation:"
+    result = pipe(prompt)[0]["generated_text"]
+    # Strip the prompt part off to clean the output
+    explanation = result[len(prompt):].strip()
+    return explanation
+
+iface = gr.Interface(
+    fn=explain_code,
+    inputs=[
+        gr.Textbox(lines=12, label="Paste your code here"),
+        gr.Radio(["Python", "C", "JavaScript", "Other"], label="Language", value="Python")
+    ],
+    outputs=gr.Textbox(label="Explanation", lines=8),
+    title="💡 Code Explainer",
+    description=(
+        "Enter code and get a natural language explanation. "
+        "Powered by a Hugging Face text-generation model."
+    ),
+    theme="soft",
+    examples=[
+        ["for i in range(5): print(i*i)", "Python"],
+        ["for(int i=0;i<5;i++){System.out.println(i*i);}", "C"],
+    ]
+)
+
+iface.launch()