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Update app.py
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app.py
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@@ -18,7 +18,11 @@ def encode_text(text):
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def find_best_response(user_input, response_pool):
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user_embedding = encode_text(user_input)
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response_embeddings = np.array([encode_text(resp) for resp in response_pool])
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similarities = cosine_similarity(user_embedding, response_embeddings).flatten()
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best_response_index = np.argmax(similarities)
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return response_pool[best_response_index]
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@@ -48,3 +52,4 @@ iface = gr.Interface(
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# Launch the interface
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iface.launch()
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def find_best_response(user_input, response_pool):
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user_embedding = encode_text(user_input)
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response_embeddings = np.array([encode_text(resp) for resp in response_pool])
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# Ensure response_embeddings are 2D
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if response_embeddings.ndim == 3:
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response_embeddings = response_embeddings.squeeze(axis=1)
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similarities = cosine_similarity(user_embedding, response_embeddings).flatten()
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best_response_index = np.argmax(similarities)
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return response_pool[best_response_index]
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# Launch the interface
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iface.launch()
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