Spaces:
Sleeping
Sleeping
Arturo Jiménez de los Galanes Reguillos
commited on
Commit
•
4952bf3
1
Parent(s):
005c893
Do not stream response, by now
Browse files
app.py
CHANGED
@@ -5,7 +5,7 @@ from threading import Thread
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import torch
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MODEL = "m-a-p/OpenCodeInterpreter-DS-33B"
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CHAT_TEMPLATE = "{
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system_message = "You are a computer programmer that can translate python code to C++ in order to improve performance"
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@@ -34,6 +34,15 @@ def translate(python):
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inputs = tokenizer.apply_chat_template(
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messages_for(python),
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return_tensors="pt").to(model.device)
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generation_kwargs = dict(
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inputs,
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streamer=streamer,
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@@ -48,6 +57,7 @@ def translate(python):
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for chunk in streamer:
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cplusplus += chunk
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yield cplusplus
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demo = gr.Interface(fn=translate, inputs="code", outputs="markdown")
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demo.launch()
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import torch
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MODEL = "m-a-p/OpenCodeInterpreter-DS-33B"
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CHAT_TEMPLATE = "{%- set found_item = false -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set found_item = true -%}\n {%- endif -%}\n{%- endfor -%}\n{%- if not found_item -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{{'### Response:\\n'}}\n"
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system_message = "You are a computer programmer that can translate python code to C++ in order to improve performance"
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inputs = tokenizer.apply_chat_template(
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messages_for(python),
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return_tensors="pt").to(model.device)
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outputs = model.generate(
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inputs,
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max_new_tokens=1024,
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do_sample=False,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id,
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)
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return tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)
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'''
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generation_kwargs = dict(
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inputs,
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streamer=streamer,
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for chunk in streamer:
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cplusplus += chunk
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yield cplusplus
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'''
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demo = gr.Interface(fn=translate, inputs="code", outputs="markdown")
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demo.launch()
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