+app.py v1, +reqs

app.py

@@ -0,0 +1,74 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+
+base_model_id = "mistralai/Mistral-7B-v0.1"
+ft_model_id = "asusevski/mistraloo-sft"
+
+
+tokenizer = AutoTokenizer.from_pretrained(
+    base_model_id,
+    add_bos_token=True,
+)
+
+model = AutoModelForCausalLM.from_pretrained(ft_model_id).to(device)
+model.eval()
+
+
+def uwaterloo_output(post_title, post_text):
+    prompt = f"""
+Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+            
+### Instruction:
+Respond to the reddit post in the style of a University of Waterloo student.
+
+### Input:
+{post_title}
+{post_text}
+
+### Response:
+"""
+    model_input = tokenizer(prompt, return_tensors="pt").to(device)
+    with torch.no_grad():
+        model_output = model.generate(**model_input, max_new_tokens=256, repetition_penalty=1.15)[0]
+    output = tokenizer.decode(model_output, skip_special_tokens=True)
+    return output.split('### Response:\n')[-1]
+
+
+iface = gr.Interface(
+    fn=uwaterloo_output,
+    inputs=[
+        gr.Textbox("", label="Post Title"),
+        gr.Textbox("", label="Post Text"),
+    ],
+    outputs=gr.Textbox("", label="Mistraloo-SFT")
+)
+
+iface.launch()
+
+
+
+
+# base_model_id = "mistralai/Mistral-7B-v0.1"
+# bnb_config = BitsAndBytesConfig(
+#     load_in_4bit=True,
+#     bnb_4bit_use_double_quant=True,
+#     bnb_4bit_quant_type="nf4",
+#     bnb_4bit_compute_dtype=torch.bfloat16
+# )
+
+
+# base_model = AutoModelForCausalLM.from_pretrained(
+#     base_model_id,  # Mistral, same as before
+#     quantization_config=bnb_config,  # Same quantization config as before
+#     device_map="auto",
+#     trust_remote_code=True,
+#     use_auth_token=True
+# )
+
+
+# ft_model = PeftModel.from_pretrained(base_model, "mistral-mistraloo/checkpoint-500")

requirements.txt

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+transformers
+gradio
+torch
+s