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my-gemma-space/app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Model otomatik Hugging Face'den indirilecek
+model_name = "google/gemma-2-2b-it"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=100)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate, 
+    inputs="text", 
+    outputs="text",
+    title="Gemma 2-2B IT - CPU Friendly",
+    description="API endpoint üzerinden otomasyon ve text generation için kullanılabilir."
+)
+
+iface.launch()

my-gemma-space/requirements.txt

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+gradio
+transformers
+torch