Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
|
3 |
+
|
4 |
+
# Load fine-tuned model
|
5 |
+
model = AutoModelForCausalLM.from_pretrained("./my_ai_assistant")
|
6 |
+
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
|
7 |
+
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
|
8 |
+
|
9 |
+
def respond(message):
|
10 |
+
response = pipe(message, max_new_tokens=200)[0]["generated_text"]
|
11 |
+
return response
|
12 |
+
|
13 |
+
gr.Interface(fn=respond, inputs="text", outputs="text", title="My AI Assistant").launch()
|