Update app.py

app.py

@@ -1,21 +1,18 @@
 import gradio as gr
-from transformers import pipeline
 
-def embed_html(html_frame):
-    return gr.outputs.HTML(html_frame)
+def embed_widget_code():
+    return gr.outputs.HTML('''
+        <!--OST Widget code start-->
+        <div style="text-align:right;">
+            <div style="min-height:360px;">
+                <div style="width:100%;height:0;padding-bottom:50%;position:relative;">
+                    <iframe style="border:none;position:absolute;top:0;left:0;width:100%;height:100%;min-height:360px;border:none;overflow:hidden !important;" src="//openspeedtest.com/speedtest"></iframe>
+                </div>
+            </div>
+            Provided by <a href="https://openspeedtest.com">OpenSpeedtest.com</a>
+        </div>
+        <!-- OST Widget code end -->
+    ''')
 
-def hugging_face_fn(inputs):
-    return {"output": embed_html(inputs)}
-
-iface = gr.Interface(
-    fn=hugging_face_fn,
-    inputs=gr.inputs.Textbox(label="Enter HTML frame here"),
-    outputs="html",
-    title="HTML Frame Embedder",
-    description="Input an HTML frame and see it embedded below."
-)
-
-model = pipeline("text-generation", model="gpt2")
-model.add_pipe(iface)
-
-model("Hello world! This is an HTML frame <iframe src='https://www.example.com'></iframe>")
+iface = gr.Interface(embed_widget_code, "text")
+iface.launch()