Create app.py

app.py

@@ -0,0 +1,52 @@
+import gradio as gr
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+from peft import PeftModel
+
+BASE_MODEL = "Qwen/Qwen3-4B-Instruct-2507"
+ADAPTER_MODEL = "Hodely/AmInside-Qwen3-4B"
+
+tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True)
+
+base_model = AutoModelForCausalLM.from_pretrained(
+    BASE_MODEL,
+    device_map="auto",
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    trust_remote_code=True
+)
+
+model = PeftModel.from_pretrained(base_model, ADAPTER_MODEL)
+
+generator = pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer
+)
+
+def chat(message, history):
+    prompt = f"""<|im_start|>system
+Eres AmSide, una inteligencia artificial basada en AmInSide1.0, creada por HodelyGil. Te adaptas al prompt, a webs, textos o cualquier información que el usuario te dé. Ayudas a estudiar, crear, programar, explicar y resolver tareas generales.<|im_end|>
+<|im_start|>user
+{message}<|im_end|>
+<|im_start|>assistant
+"""
+
+    result = generator(
+        prompt,
+        max_new_tokens=220,
+        temperature=0.7,
+        do_sample=True,
+        repetition_penalty=1.08
+    )[0]["generated_text"]
+
+    answer = result.split("<|im_start|>assistant")[-1]
+    answer = answer.replace("<|im_end|>", "").strip()
+    return answer
+
+demo = gr.ChatInterface(
+    fn=chat,
+    title="AmSide",
+    description="AmSide · Modelo AmInSide1.0 creado por HodelyGil"
+)
+
+demo.launch()