Create app.py

app.py

@@ -0,0 +1,38 @@
+import gradio as gr, sys, io, contextlib, traceback, tempfile, os, base64
+from matplotlib import pyplot as plt
+from PIL import Image
+
+def run(code:str, prev_globals:dict):
+    out, figs = "", []
+    loc = {"__builtins__": __builtins__, "plt": plt, "np": __import__("numpy")}
+    if prev_globals: loc.update(prev_globals)
+    try:
+        # capturăm stdout
+        s = io.StringIO()
+        with contextlib.redirect_stdout(s):
+            exec(code, loc)
+        out = s.getvalue()
+        # salvăm figuri deschise
+        for num in plt.get_fignums():
+            buf = io.BytesIO()
+            plt.figure(num).savefig(buf, format='png', bbox_inches='tight')
+            buf.seek(0); figs.append(Image.open(buf))
+            plt.close(num)
+    except Exception as e:
+        out = traceback.format_exc()
+    return out, figs, loc
+
+def py_cell(code, state):
+    txt, imgs, new_state = run(code, state)
+    return txt, gr.Gallery(imgs), new_state
+
+with gr.Blocks(title="py@hf") as demo:
+    st = gr.State({})
+    gr.Markdown("## Python în browser – rulează `py>`")
+    code = gr.Textbox(lines=6, label="Code", placeholder="print('Hello py@hf')")
+    run_btn = gr.Button("Run")
+    out_txt = gr.Textbox(label="stdout")
+    out_img = gr.Gallery(label="plots")
+    run_btn.click(py_cell, inputs=[code, st], outputs=[out_txt, out_img, st])
+
+demo.queue().launch()