Upload 3 files

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer_code2desc = AutoTokenizer.from_pretrained("microsoft/codebert-base")
+model_code2desc = AutoModelForSeq2SeqLM.from_pretrained("microsoft/codebert-base")
+
+def code_to_description(code: str) -> str:
+    inputs = tokenizer_code2desc.encode("summarize: " + code, return_tensors="pt", max_length=512)
+    outputs = model_code2desc.generate(inputs, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2)
+    description = tokenizer_code2desc.decode(outputs[0], skip_special_tokens=True)
+    return description
+
+iface = gr.Interface(fn=code_to_description, inputs="text", outputs="text")
+iface.launch()

readme.md

@@ -0,0 +1,14 @@
+---
+title: Code-to-Detailed-English-Description
+emoji: 🌍
+colorFrom: red
+colorTo: red
+sdk: gradio
+sdk_version: 3.30.3
+app_file: app.py
+pinned: true
+license: mit
+
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-refer

requirements.txt

@@ -0,0 +1,2 @@
+gradio
+transformers