Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -9,17 +9,19 @@ hf_token = os.environ["HUGGINGFACEHUB_API_TOKEN"]
|
|
| 9 |
|
| 10 |
torch.set_num_threads(4)
|
| 11 |
|
| 12 |
-
#
|
| 13 |
tokenizer = None
|
| 14 |
model = None
|
|
|
|
| 15 |
|
| 16 |
# Load selected model
|
| 17 |
def load_model(model_name):
|
| 18 |
-
global tokenizer, model
|
| 19 |
full_model_name = f"MaxLSB/{model_name}"
|
| 20 |
tokenizer = AutoTokenizer.from_pretrained(full_model_name, token=hf_token)
|
| 21 |
model = AutoModelForCausalLM.from_pretrained(full_model_name, token=hf_token)
|
| 22 |
model.eval()
|
|
|
|
| 23 |
|
| 24 |
# Initialize default model
|
| 25 |
load_model("LeCarnet-8M")
|
|
@@ -49,7 +51,8 @@ def respond(message, max_tokens, temperature, top_p):
|
|
| 49 |
response = ""
|
| 50 |
for new_text in streamer:
|
| 51 |
response += new_text
|
| 52 |
-
|
|
|
|
| 53 |
|
| 54 |
# User input handler
|
| 55 |
def user(message, chat_history):
|
|
@@ -69,8 +72,6 @@ def update_model(model_name):
|
|
| 69 |
load_model(model_name)
|
| 70 |
return []
|
| 71 |
|
| 72 |
-
image_path = "static/le-carnet.png"
|
| 73 |
-
|
| 74 |
# Gradio UI
|
| 75 |
with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
|
| 76 |
with gr.Row():
|
|
@@ -78,11 +79,9 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
|
|
| 78 |
<div style="text-align: center; width: 100%;">
|
| 79 |
<h1 style="margin: 0;">LeCarnet Demo π</h1>
|
| 80 |
</div>
|
| 81 |
-
""")
|
| 82 |
|
| 83 |
-
# Main layout
|
| 84 |
with gr.Row():
|
| 85 |
-
# Left column: Options
|
| 86 |
with gr.Column(scale=1, min_width=150):
|
| 87 |
model_selector = gr.Dropdown(
|
| 88 |
choices=["LeCarnet-3M", "LeCarnet-8M", "LeCarnet-21M"],
|
|
@@ -94,7 +93,6 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
|
|
| 94 |
top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p Sampling")
|
| 95 |
clear_button = gr.Button("Clear Chat")
|
| 96 |
|
| 97 |
-
# Right column: Chat
|
| 98 |
with gr.Column(scale=4):
|
| 99 |
chatbot = gr.Chatbot(
|
| 100 |
bubble_full_width=False,
|
|
@@ -114,7 +112,6 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
|
|
| 114 |
label="Example Prompts"
|
| 115 |
)
|
| 116 |
|
| 117 |
-
# Event handlers
|
| 118 |
model_selector.change(fn=update_model, inputs=[model_selector], outputs=[])
|
| 119 |
msg_input.submit(fn=user, inputs=[msg_input, chatbot], outputs=[msg_input, chatbot], queue=False).then(
|
| 120 |
fn=bot, inputs=[chatbot, max_tokens, temperature, top_p], outputs=[chatbot]
|
|
@@ -122,4 +119,4 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
|
|
| 122 |
clear_button.click(fn=lambda: None, inputs=None, outputs=chatbot, queue=False)
|
| 123 |
|
| 124 |
if __name__ == "__main__":
|
| 125 |
-
demo.queue(default_concurrency_limit=10, max_size=10).launch(ssr_mode=False, max_threads=10)
|
|
|
|
| 9 |
|
| 10 |
torch.set_num_threads(4)
|
| 11 |
|
| 12 |
+
# Globals
|
| 13 |
tokenizer = None
|
| 14 |
model = None
|
| 15 |
+
current_model_name = None
|
| 16 |
|
| 17 |
# Load selected model
|
| 18 |
def load_model(model_name):
|
| 19 |
+
global tokenizer, model, current_model_name
|
| 20 |
full_model_name = f"MaxLSB/{model_name}"
|
| 21 |
tokenizer = AutoTokenizer.from_pretrained(full_model_name, token=hf_token)
|
| 22 |
model = AutoModelForCausalLM.from_pretrained(full_model_name, token=hf_token)
|
| 23 |
model.eval()
|
| 24 |
+
current_model_name = model_name
|
| 25 |
|
| 26 |
# Initialize default model
|
| 27 |
load_model("LeCarnet-8M")
|
|
|
|
| 51 |
response = ""
|
| 52 |
for new_text in streamer:
|
| 53 |
response += new_text
|
| 54 |
+
# prepend model name on its own line
|
| 55 |
+
yield f"**Model: {current_model_name}**\n\n{response}"
|
| 56 |
|
| 57 |
# User input handler
|
| 58 |
def user(message, chat_history):
|
|
|
|
| 72 |
load_model(model_name)
|
| 73 |
return []
|
| 74 |
|
|
|
|
|
|
|
| 75 |
# Gradio UI
|
| 76 |
with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
|
| 77 |
with gr.Row():
|
|
|
|
| 79 |
<div style="text-align: center; width: 100%;">
|
| 80 |
<h1 style="margin: 0;">LeCarnet Demo π</h1>
|
| 81 |
</div>
|
| 82 |
+
""" )
|
| 83 |
|
|
|
|
| 84 |
with gr.Row():
|
|
|
|
| 85 |
with gr.Column(scale=1, min_width=150):
|
| 86 |
model_selector = gr.Dropdown(
|
| 87 |
choices=["LeCarnet-3M", "LeCarnet-8M", "LeCarnet-21M"],
|
|
|
|
| 93 |
top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p Sampling")
|
| 94 |
clear_button = gr.Button("Clear Chat")
|
| 95 |
|
|
|
|
| 96 |
with gr.Column(scale=4):
|
| 97 |
chatbot = gr.Chatbot(
|
| 98 |
bubble_full_width=False,
|
|
|
|
| 112 |
label="Example Prompts"
|
| 113 |
)
|
| 114 |
|
|
|
|
| 115 |
model_selector.change(fn=update_model, inputs=[model_selector], outputs=[])
|
| 116 |
msg_input.submit(fn=user, inputs=[msg_input, chatbot], outputs=[msg_input, chatbot], queue=False).then(
|
| 117 |
fn=bot, inputs=[chatbot, max_tokens, temperature, top_p], outputs=[chatbot]
|
|
|
|
| 119 |
clear_button.click(fn=lambda: None, inputs=None, outputs=chatbot, queue=False)
|
| 120 |
|
| 121 |
if __name__ == "__main__":
|
| 122 |
+
demo.queue(default_concurrency_limit=10, max_size=10).launch(ssr_mode=False, max_threads=10)
|