Initial commit of CodeT5p-220m demo app

app.py

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+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+model_name = "Salesforce/codet5p-220m"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+def generate_code(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(lines=5, label="Input Text"),
+    outputs=gr.Textbox(lines=10, label="Generated Code"),
+    title="CodeT5p-220m Code Generation",
+    description="Generate code snippets using Salesforce/codet5p-220m model"
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+transformers
+torch
+gradio