Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
update to fix
Browse files- app.py +0 -3
- app_huggingface.py +10 -4
app.py
CHANGED
@@ -1,6 +1,5 @@
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import gradio as gr
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from app_huggingface import demo as demo_huggingface
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from app_allenai import demo as demo_allenai
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from app_claude import demo as demo_claude
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from app_experimental import demo as demo_experimental
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@@ -21,8 +20,6 @@ from app_together import demo as demo_together
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from app_xai import demo as demo_grok
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with gr.Blocks(fill_height=True) as demo:
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with gr.Tab("Hugging Face"):
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demo_huggingface.render()
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with gr.Tab("Grok"):
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demo_grok.render()
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with gr.Tab("Hyperbolic"):
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import gradio as gr
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from app_allenai import demo as demo_allenai
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from app_claude import demo as demo_claude
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from app_experimental import demo as demo_experimental
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from app_xai import demo as demo_grok
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with gr.Blocks(fill_height=True) as demo:
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with gr.Tab("Grok"):
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demo_grok.render()
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with gr.Tab("Hyperbolic"):
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app_huggingface.py
CHANGED
@@ -8,8 +8,13 @@ MODELS = {
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def create_chat_fn(client):
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def chat(message, history):
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response = client.predict(
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message=message,
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api_name="/chat"
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)
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return response
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@@ -42,7 +47,8 @@ with gr.Blocks() as demo:
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chat_interface = gr.ChatInterface(
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fn=safe_chat_fn,
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additional_inputs=[client]
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)
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# Update client when model changes
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@@ -64,4 +70,4 @@ with gr.Blocks() as demo:
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demo = demo
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def create_chat_fn(client):
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def chat(message, history):
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response = client.predict(
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message={"text": message, "files": []},
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system_prompt="You are a helpful AI assistant.",
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temperature=0.7,
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max_new_tokens=1024,
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top_k=40,
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repetition_penalty=1.1,
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top_p=0.95,
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api_name="/chat"
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)
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return response
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chat_interface = gr.ChatInterface(
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fn=safe_chat_fn,
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additional_inputs=[client],
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multimodal=True
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)
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# Update client when model changes
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demo = demo
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demo.launch()
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