Rename app.py to 2files_app.py
Browse files- app.py → 2files_app.py +2 -2
app.py → 2files_app.py
RENAMED
@@ -76,7 +76,7 @@ def generate_response(text):
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if language == "hebrew":
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#hebrew_generator = pipeline("text-generation", model="onlplab/alephbert-base")
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# output = hebrew_generator(text, max_length=100, truncation=True)
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output = lang_generator(text, max_new_tokens=
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print(f"Hebrew model output: {output}, ", f"current time: {current_time_gmt()}") # Debugging
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return output[0]["generated_text"]
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@@ -84,7 +84,7 @@ def generate_response(text):
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#english_generator = pipeline("text-generation", model="mistralai/Mistral-Nemo-Instruct-2407", max_new_tokens=128)
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# english_generator = pipeline("text-generation", model="distilgpt2")
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#output = english_generator(text, max_length=50, truncation=True)
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output = lang_generator(text, max_new_tokens=
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print(f"English model output: {output}, ", f"current time: {current_time_gmt()}") # Debugging
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return output[0]["generated_text"]
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if language == "hebrew":
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#hebrew_generator = pipeline("text-generation", model="onlplab/alephbert-base")
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# output = hebrew_generator(text, max_length=100, truncation=True)
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output = lang_generator(text, max_new_tokens=250, truncation=True)
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print(f"Hebrew model output: {output}, ", f"current time: {current_time_gmt()}") # Debugging
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return output[0]["generated_text"]
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#english_generator = pipeline("text-generation", model="mistralai/Mistral-Nemo-Instruct-2407", max_new_tokens=128)
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# english_generator = pipeline("text-generation", model="distilgpt2")
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#output = english_generator(text, max_length=50, truncation=True)
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output = lang_generator(text, max_new_tokens=250, truncation=True)
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print(f"English model output: {output}, ", f"current time: {current_time_gmt()}") # Debugging
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return output[0]["generated_text"]
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