mistral model in app file commit

app.py

@@ -1,7 +1,35 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# it is a 46.7B params llm model.
+
+model_id = "mistralai/Mixtral-8x7B-v0.1"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+text = "Hello my name is"
+inputs = tokenizer(text, return_tensors="pt")
+
+outputs = model.generate(**inputs, max_new_tokens=20)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
 
 def greet(name):
-    return "Hello " + name + "!!"
+    # it is a 46.7B params llm model.
+
+    model_id = "mistralai/Mixtral-8x7B-v0.1"
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+    model = AutoModelForCausalLM.from_pretrained(model_id)
+
+    text = name #"Hello my name is"
+    inputs = tokenizer(text, return_tensors="pt")
+
+    outputs = model.generate(**inputs, max_new_tokens=20)
+    #print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+    return tokenizer.decode(outputs[0], skip_special_tokens) #="Hello " + name + "!!"
 
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()