create appy.py

app.py

@@ -0,0 +1,23 @@
+# First, ensure transformers and gradio are installed
+!pip install transformers gradio
+
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the Mistral AI model and tokenizer from Hugging Face
+model_name = "mistralai/Mistral-7B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Define the chatbot function
+def chatbot(user_input):
+    inputs = tokenizer(user_input, return_tensors="pt")
+    outputs = model.generate(inputs['input_ids'], max_length=50)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Set up the Gradio interface
+demo = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="Mistral AI Chatbot")
+
+# Launch the app
+demo.launch()