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TEST_6 (#7)
Browse files- TEST_6 (7b31077b366e5f5bd7932c673fcf56808eb9e6a0)
app.py
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@@ -5,7 +5,7 @@ from transformers import pipeline
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# Modelos
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chat_model_zephyr = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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# Similaridade
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similarity_model = SentenceTransformer("all-MiniLM-L6-v2")
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@@ -25,8 +25,8 @@ def get_zephyr_response(question):
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return response.choices[0].message.content.strip()
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def
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generated =
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return generated.strip()
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@@ -39,12 +39,12 @@ def compare_answers(answer1, answer2):
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def respond(question):
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answer_zephyr = get_zephyr_response(question)
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similarity = compare_answers(answer_zephyr,
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return (
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f"🧠 Zephyr-7b:\n{answer_zephyr}\n\n"
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f"🤖
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f"🔍 Similaridade Semântica: **{similarity}**"
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)
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# Modelos
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chat_model_zephyr = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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chat_model_gpt2 = pipeline("text-generation", model="gpt2", max_new_tokens=100)
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# Similaridade
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similarity_model = SentenceTransformer("all-MiniLM-L6-v2")
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return response.choices[0].message.content.strip()
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def get_gpt2_response(question):
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generated = chat_model_gpt2(question)[0]["generated_text"]
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return generated.strip()
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def respond(question):
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answer_zephyr = get_zephyr_response(question)
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answer_gpt2 = get_gpt2_response(question)
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similarity = compare_answers(answer_zephyr, answer_gpt2)
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return (
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f"🧠 Zephyr-7b:\n{answer_zephyr}\n\n"
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f"🤖 GPT-2:\n{answer_gpt2}\n\n"
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f"🔍 Similaridade Semântica: **{similarity}**"
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)
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