Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -5,6 +5,7 @@ import os
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# Load secrets
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system_message = os.environ["SYSTEM_MESSAGE"]
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HF_TOKEN = os.environ["HF_TOKEN"]
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client = InferenceClient(token=HF_TOKEN)
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@@ -18,7 +19,7 @@ def respond(message, history, max_tokens, temperature, top_p):
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response = []
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stream = client.chat.completions.create(
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model=
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messages=prompt,
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max_tokens=max_tokens,
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temperature=temperature,
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@@ -26,14 +27,13 @@ def respond(message, history, max_tokens, temperature, top_p):
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stream=True
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)
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# Fast generator (yield only when new content available)
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for chunk in stream:
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token = chunk.choices[0].delta.content
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if token:
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response.append(token)
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yield "".join(response)
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# UI
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app = gr.ChatInterface(
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fn=respond,
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additional_inputs=[
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@@ -41,9 +41,7 @@ app = gr.ChatInterface(
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gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"),
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],
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-
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)
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if __name__ == "__main__":
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app.launch()
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-
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# Load secrets
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system_message = os.environ["SYSTEM_MESSAGE"]
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HF_TOKEN = os.environ["HF_TOKEN"]
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MODEL_NAME = os.environ["MODEL_NAME"] # <-- Add this
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client = InferenceClient(token=HF_TOKEN)
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response = []
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stream = client.chat.completions.create(
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model=MODEL_NAME, # <-- use the secret here
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messages=prompt,
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max_tokens=max_tokens,
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temperature=temperature,
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stream=True
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)
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for chunk in stream:
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token = chunk.choices[0].delta.content
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if token:
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response.append(token)
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yield "".join(response)
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# UI
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app = gr.ChatInterface(
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fn=respond,
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additional_inputs=[
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gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"),
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],
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)
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if __name__ == "__main__":
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app.launch()
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