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imperialwool
commited on
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•
67288d4
1
Parent(s):
3cd9e10
Update gradio_app.py
Browse files- gradio_app.py +12 -9
gradio_app.py
CHANGED
@@ -56,7 +56,7 @@ with open('system.prompt', 'r', encoding='utf-8') as f:
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prompt = f.read()
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def generate_answer(request: str, max_tokens: int = 256, language: str = "en", custom_prompt: str = None):
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-
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try:
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maxTokens = max_tokens if 16 <= max_tokens <= 256 else 64
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if isinstance(custom_prompt, str):
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@@ -64,13 +64,13 @@ def generate_answer(request: str, max_tokens: int = 256, language: str = "en", c
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else:
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userPrompt = prompt + "\n\nUser: " + request + "\nAssistant: "
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except:
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-
return "Not enough data! Check that you passed all needed data."
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try:
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output = llm(userPrompt, max_tokens=maxTokens, stop=["User:"], echo=False)
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text = output["choices"][0]["text"]
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if language in languages:
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-
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encoded_input = translator_tokenizer(text, return_tensors="pt")
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generated_tokens = translator_model.generate(
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**encoded_input, forced_bos_token_id=translator_tokenizer.get_lang_id(language)
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@@ -78,13 +78,13 @@ def generate_answer(request: str, max_tokens: int = 256, language: str = "en", c
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translated_text = translator_tokenizer.batch_decode(
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generated_tokens, skip_special_tokens=True
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)[0]
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return translated_text
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return text
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except Exception as e:
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print(e)
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-
return "Oops! Internal server error. Check the logs of space/instance."
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print("\n\n\n")
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print("! LOAD GRADIO INTERFACE !")
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@@ -96,7 +96,10 @@ demo = gr.Interface(
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gr.components.Dropdown(label="Target Language", value="en", choices=["en"]+languages),
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gr.components.Textbox(label="Custom system prompt"),
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],
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-
outputs=[
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title=title,
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description=desc,
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allow_flagging='never'
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prompt = f.read()
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def generate_answer(request: str, max_tokens: int = 256, language: str = "en", custom_prompt: str = None):
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+
logs = f"Request: {request}\nMax tokens: {max_tokens}\nLanguage: {language}\nCustom prompt: {custom_prompt}\n"
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try:
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maxTokens = max_tokens if 16 <= max_tokens <= 256 else 64
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if isinstance(custom_prompt, str):
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else:
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userPrompt = prompt + "\n\nUser: " + request + "\nAssistant: "
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except:
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return "Not enough data! Check that you passed all needed data.", logs
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try:
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output = llm(userPrompt, max_tokens=maxTokens, stop=["User:"], echo=False)
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text = output["choices"][0]["text"]
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if language in languages:
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logs += f"\nTranslating from en to {language}"
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encoded_input = translator_tokenizer(text, return_tensors="pt")
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generated_tokens = translator_model.generate(
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**encoded_input, forced_bos_token_id=translator_tokenizer.get_lang_id(language)
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translated_text = translator_tokenizer.batch_decode(
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generated_tokens, skip_special_tokens=True
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)[0]
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logs += f"\nTranslated: {translated_text}\nOriginal: {text}"
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return translated_text, logs
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logs += f"\nOriginal: {text}"
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return text, logs
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except Exception as e:
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print(e)
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return "Oops! Internal server error. Check the logs of space/instance.", logs
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print("\n\n\n")
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print("! LOAD GRADIO INTERFACE !")
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gr.components.Dropdown(label="Target Language", value="en", choices=["en"]+languages),
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gr.components.Textbox(label="Custom system prompt"),
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],
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+
outputs=[
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gr.components.Textbox(label="Output"),
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gr.components.Textbox(label="Logs")
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],
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title=title,
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description=desc,
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allow_flagging='never'
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