Create app.py

app.py

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+import torch
+import transformers
+import gradio as gr
+
+# Check if CUDA is available and set the device
+use_cuda = torch.cuda.is_available()
+device = torch.device("cuda" if use_cuda else "cpu")
+
+# Load the tokenizer and model
+t5_tokenizer = transformers.GPT2Tokenizer.from_pretrained("SiberiaSoft/SiberianPersonaFred-2")
+t5_model = transformers.T5ForConditionalGeneration.from_pretrained("SiberiaSoft/SiberianPersonaFred-2").to(device)
+
+# Define the function to generate responses
+def generate_response(dialog):
+    dialog = dialog.strip()
+    if len(dialog) == 0:
+        return "Please enter a message."
+    
+    dialog = dialog[0].upper() + dialog[1:]
+    prompt = '<SC6>Я культурный гопник, ем семечки, люблю играть в доту 2 на любимом герое инвокере, говорю без матов и маты не люблю недавно у меня был такой диалог:' + '\nТы: ' + dialog + '\nЯ: <extra_id_0>'
+    
+    input_ids = t5_tokenizer(prompt, return_tensors='pt').input_ids.to(device)
+    out_ids = t5_model.generate(input_ids=input_ids, do_sample=True, temperature=0.9, max_new_tokens=512, top_p=0.85, top_k=2, repetition_penalty=1.2)
+    
+    t5_output = t5_tokenizer.decode(out_ids[0][1:])
+    if '</s>' in t5_output:
+        t5_output = t5_output[:t5_output.find('</s>')].strip()
+    t5_output = t5_output.replace('<extra_id_0>', '').strip()
+    t5_output = t5_output.split('Собеседник')[0].strip()
+    
+    return t5_output
+
+# Create a Gradio interface
+iface = gr.Interface(fn=generate_response, 
+                     inputs="text", 
+                     outputs="text", 
+                     title="Siberian Persona Chatbot",
+                     description="A chatbot that responds with a Siberian persona.")
+
+# Launch the interface
+iface.launch()