her skjd

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM,AutoModel
+from transformers import AutoTokenizer
+import torch
+
+model = AutoModel.from_pretrained("aframson/RDPDLM",trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("aframson/RDPDLM",trust_remote_code=True)
+
+
+def Generate(context):
+    context_tokens = torch.tensor(tokenizer._encode(context), dtype=torch.long).unsqueeze(0)  # Encode the text
+    # Generate text based on the context
+    generated_text = model.generate(context_tokens, max_new_tokens=10)[0].tolist()
+    return tokenizer._decode(generated_text)
+
+iface = gr.Interface(fn=Generate, inputs="text", outputs="text")
+iface.launch()

requirements.txt

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+transformers==4.30.2
+torch
+sentencepiece