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abhillubillu
commited on
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•
5cb50fa
1
Parent(s):
137f292
Update app.py
Browse files
app.py
CHANGED
@@ -1,11 +1,15 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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"""
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client = InferenceClient("abhillubillu/ai_gameapp")
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def respond(
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message,
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@@ -27,21 +31,19 @@ def respond(
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response = ""
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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@@ -58,6 +60,5 @@ demo = gr.ChatInterface(
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],
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)
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if __name__ == "__main__":
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demo.launch(show_error=True)
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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# Retrieve your token from the environment variable
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hf_token = os.getenv("HF_TOKEN_NEW")
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# Initialize InferenceClient with the token
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client = InferenceClient(
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model="abhillubillu/ai_gameapp",
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token=hf_token # Use your token stored in HF_TOKEN_NEW
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)
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def respond(
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message,
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response = ""
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# Stream the response from the model
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True, # Ensure your model supports streaming
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temperature=temperature,
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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# Setting up Gradio Chat Interface
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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],
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)
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if __name__ == "__main__":
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demo.launch(show_error=True)
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