Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Charger le modèle (remplace "mistralai/Mistral-7B-Instruct" par ton modèle)
+model_name = "mistralai/Mistral-7B-Instruct"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Fonction de chat
+def chatbot_response(user_input):
+    inputs = tokenizer(user_input, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=200)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Interface Gradio
+iface = gr.Interface(fn=chatbot_response, inputs="text", outputs="text", title="Thought 1.0 Poet IQ150")
+iface.launch()