🚀 إضافة نموذج Gemma مع Claude Reasoning وواجهة Gradio

app.py

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+import os
+from huggingface_hub import login
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import gradio as gr
+
+# الدخول إلى حساب Hugging Face باستخدام التوكن المخزن في Secret
+login(token=os.environ["HF_TOKEN"])
+
+model_id = "reedmayhew/claude-3.7-sonnet-reasoning-gemma3-12B"
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=True)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto", use_auth_token=True)
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(prompt):
+    output = pipe(prompt, max_new_tokens=200)[0]["generated_text"]
+    return output
+
+demo = gr.Interface(fn=chat, inputs="text", outputs="text", title="Gemma + Claude Reasoning Bot")
+demo.launch()

requirements.txt

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+transformers
+huggingface_hub
+torch
+accelerate