Init project

app.py

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+import gradio as gr
+
+
+theme = gr.themes.Soft(
+    primary_hue="green",
+)
+
+with gr.Blocks(theme=theme) as iface:
+    with gr.Row():
+        with gr.Column():
+            model_id_input = gr.Textbox(
+                label="Hugging Face model id",
+                placeholder="cardiffnlp/twitter-roberta-base-sentiment-latest",
+            )
+
+            model_type = gr.Dropdown(
+                label="Hugging Face model type",
+                choices=[
+                    ("Auto-detect", 0),
+                    ("Text Classification", 1),
+                ],
+                value=0,
+            )
+
+        with gr.Column():
+            dataset_id_input = gr.Textbox(
+                label="Hugging Face dataset id",
+                placeholder="tweet_eval",
+            )
+
+            gr.Dropdown(
+                label="Hugging Face dataset subset",
+            )
+
+            gr.Dropdown(
+                label="Hugging Face dataset split",
+            )
+
+iface.queue(max_size=20)
+iface.launch()