From f29aa95b1d09821a9892332d8f454bca967776e5 Mon Sep 17 00:00:00 2001
From: SOULOFCINDER <841135647@qq.com>
Date: Fri, 31 Mar 2023 13:02:25 +0800
Subject: [PATCH] inital

---
 mDeBERTa_v3_base_mnli_xnli/app.py             | 28 +++++++++++++++++++
 .../mDeBERTa-v3-base-mnli-xnli                |  1 +
 2 files changed, 29 insertions(+)
 create mode 100644 mDeBERTa_v3_base_mnli_xnli/app.py
 create mode 160000 mDeBERTa_v3_base_mnli_xnli/mDeBERTa-v3-base-mnli-xnli

diff --git a/mDeBERTa_v3_base_mnli_xnli/app.py b/mDeBERTa_v3_base_mnli_xnli/app.py
new file mode 100644
index 0000000..8115a42
--- /dev/null
+++ b/mDeBERTa_v3_base_mnli_xnli/app.py
@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+
+def inference(sequence_to_classify):
+    model_path="mDeBERTa-v3-base-mnli-xnli"
+    classifier = pipeline("zero-shot-classification", model=model_path)
+
+    candidate_labels = ["politics", "economy", "entertainment", "environment"]
+    output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
+    return output
+
+
+examples=[["Angela Merkel ist eine Politikerin in Deutschland und Vorsitzende der CDU"]]
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+    """
+    # Text classification:mDeBERTa-v3-base-mnli-xnli
+    Gradio Demo for mDeBERTa-v3-base-mnli-xnli. To use it, simply type in text, or click one of the examples to load them.
+    """)
+    with gr.Row():
+        text_input = gr.Textbox()
+        text_output = gr.Textbox()
+    image_button = gr.Button("上传")
+    image_button.click(inference, inputs=text_input, outputs=text_output)
+    gr.Examples(examples,inputs=text_input)
+
+demo.launch()
diff --git a/mDeBERTa_v3_base_mnli_xnli/mDeBERTa-v3-base-mnli-xnli b/mDeBERTa_v3_base_mnli_xnli/mDeBERTa-v3-base-mnli-xnli
new file mode 160000
index 0000000..9086d78
--- /dev/null
+++ b/mDeBERTa_v3_base_mnli_xnli/mDeBERTa-v3-base-mnli-xnli
@@ -0,0 +1 @@
+Subproject commit 9086d78af18a62546cf05a768934d291684d6309