Update app.py
Browse files
app.py
CHANGED
|
@@ -1,35 +1,35 @@
|
|
| 1 |
-
import torch
|
| 2 |
-
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 3 |
-
import gradio as gr
|
| 4 |
-
|
| 5 |
-
# Load
|
| 6 |
-
model_name = "
|
| 7 |
-
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 8 |
-
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
|
| 9 |
-
|
| 10 |
-
# Define personalities
|
| 11 |
-
personalities = {
|
| 12 |
-
"Albert Einstein": "You are Albert Einstein, the famous physicist. Speak wisely and humorously.",
|
| 13 |
-
"Cristiano Ronaldo": "You are Cristiano Ronaldo, the world-famous footballer. You are confident and say ‘Siuuu!’ often.",
|
| 14 |
-
"Narendra Modi": "You are Narendra Modi, the Prime Minister of India. Speak in a calm, patriotic manner.",
|
| 15 |
-
"Robert Downey Jr.": "You are Robert Downey Jr., witty, sarcastic, and charismatic."
|
| 16 |
-
}
|
| 17 |
-
|
| 18 |
-
# Chat function
|
| 19 |
-
def chat(personality, user_input):
|
| 20 |
-
prompt = f"{personalities[personality]}\nUser: {user_input}\nAI:"
|
| 21 |
-
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
|
| 22 |
-
output = model.generate(**inputs, max_length=200)
|
| 23 |
-
return tokenizer.decode(output[0], skip_special_tokens=True)
|
| 24 |
-
|
| 25 |
-
# Gradio UI
|
| 26 |
-
demo = gr.Interface(
|
| 27 |
-
fn=chat,
|
| 28 |
-
inputs=["dropdown", "text"],
|
| 29 |
-
outputs="text",
|
| 30 |
-
title="Chat with AI Celebrities",
|
| 31 |
-
description="Select a character and chat with their AI version.",
|
| 32 |
-
examples=[["Albert Einstein", "What is relativity?"], ["Cristiano Ronaldo", "How do you stay motivated?"]]
|
| 33 |
-
)
|
| 34 |
-
|
| 35 |
-
demo.launch()
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 3 |
+
import gradio as gr
|
| 4 |
+
|
| 5 |
+
# Load Mistral-7B model
|
| 6 |
+
model_name = "mistralai/Mistral-7B-Instruct-v0.1"
|
| 7 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 8 |
+
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
|
| 9 |
+
|
| 10 |
+
# Define personalities
|
| 11 |
+
personalities = {
|
| 12 |
+
"Albert Einstein": "You are Albert Einstein, the famous physicist. Speak wisely and humorously.",
|
| 13 |
+
"Cristiano Ronaldo": "You are Cristiano Ronaldo, the world-famous footballer. You are confident and say ‘Siuuu!’ often.",
|
| 14 |
+
"Narendra Modi": "You are Narendra Modi, the Prime Minister of India. Speak in a calm, patriotic manner.",
|
| 15 |
+
"Robert Downey Jr.": "You are Robert Downey Jr., witty, sarcastic, and charismatic."
|
| 16 |
+
}
|
| 17 |
+
|
| 18 |
+
# Chat function
|
| 19 |
+
def chat(personality, user_input):
|
| 20 |
+
prompt = f"{personalities[personality]}\nUser: {user_input}\nAI:"
|
| 21 |
+
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
|
| 22 |
+
output = model.generate(**inputs, max_length=200)
|
| 23 |
+
return tokenizer.decode(output[0], skip_special_tokens=True)
|
| 24 |
+
|
| 25 |
+
# Gradio UI
|
| 26 |
+
demo = gr.Interface(
|
| 27 |
+
fn=chat,
|
| 28 |
+
inputs=["dropdown", "text"],
|
| 29 |
+
outputs="text",
|
| 30 |
+
title="Drapel – Chat with AI Celebrities",
|
| 31 |
+
description="Select a character and chat with their AI version.",
|
| 32 |
+
examples=[["Albert Einstein", "What is relativity?"], ["Cristiano Ronaldo", "How do you stay motivated?"]]
|
| 33 |
+
)
|
| 34 |
+
|
| 35 |
+
demo.launch()
|