Update app.py
Browse files
app.py
CHANGED
|
@@ -1,23 +1,23 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
|
| 3 |
|
| 4 |
-
model_name = "
|
| 5 |
|
| 6 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 7 |
-
model = AutoModelForCausalLM.from_pretrained(model_name
|
| 8 |
|
| 9 |
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
|
| 10 |
|
| 11 |
def chat(user_input, history=[]):
|
| 12 |
-
prompt = f"
|
| 13 |
-
result = pipe(prompt, max_new_tokens=
|
| 14 |
response = result[0]["generated_text"].replace(prompt, "").strip()
|
| 15 |
history.append((user_input, response))
|
| 16 |
return history, history
|
| 17 |
|
| 18 |
gr.ChatInterface(
|
| 19 |
fn=chat,
|
| 20 |
-
title="🤖 Mobe 2.0
|
| 21 |
-
description="
|
| 22 |
theme="soft"
|
| 23 |
).launch()
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
|
| 3 |
|
| 4 |
+
model_name = "tiiuae/falcon-rw-1b"
|
| 5 |
|
| 6 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 7 |
+
model = AutoModelForCausalLM.from_pretrained(model_name)
|
| 8 |
|
| 9 |
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
|
| 10 |
|
| 11 |
def chat(user_input, history=[]):
|
| 12 |
+
prompt = f"{user_input}"
|
| 13 |
+
result = pipe(prompt, max_new_tokens=200, do_sample=True, temperature=0.8)
|
| 14 |
response = result[0]["generated_text"].replace(prompt, "").strip()
|
| 15 |
history.append((user_input, response))
|
| 16 |
return history, history
|
| 17 |
|
| 18 |
gr.ChatInterface(
|
| 19 |
fn=chat,
|
| 20 |
+
title="🤖 Mobe 2.0 – Public AI (No login needed)",
|
| 21 |
+
description="Now using Falcon 1B - 100% free",
|
| 22 |
theme="soft"
|
| 23 |
).launch()
|