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Update app.py
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app.py
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@@ -38,7 +38,7 @@ def question_answering(question):
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print(question)
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query_sentence = [question]
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query_embedding = st.session_state.model_embedding.encode(query_sentence)
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k =
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D, I = index_loaded.search(query_embedding.astype('float32'), k) # D is distances, I is indices
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answer = [question_answerer(question=query_sentence[0], context=articles[I[0][i]], max_answer_len = 512) for i in range(k)]
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best_answer = max(answer, key=lambda x: x['score'])
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@@ -76,11 +76,11 @@ for message in st.session_state.messages:
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if message['role'] == 'assistant':
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avatar_class = "assistant-avatar"
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message_class = "assistant-message"
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avatar = './static/
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else:
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avatar_class = "user-avatar"
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message_class = "user-message"
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avatar = './static/
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st.markdown(f"""
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<div class="{message_class}">
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<img src="{avatar}" class="{avatar_class}" />
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print(question)
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query_sentence = [question]
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query_embedding = st.session_state.model_embedding.encode(query_sentence)
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k = 1
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D, I = index_loaded.search(query_embedding.astype('float32'), k) # D is distances, I is indices
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answer = [question_answerer(question=query_sentence[0], context=articles[I[0][i]], max_answer_len = 512) for i in range(k)]
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best_answer = max(answer, key=lambda x: x['score'])
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if message['role'] == 'assistant':
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avatar_class = "assistant-avatar"
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message_class = "assistant-message"
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avatar = './app/static/static_ai.png'
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else:
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avatar_class = "user-avatar"
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message_class = "user-message"
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avatar = './app/static/static_human.png'
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st.markdown(f"""
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<div class="{message_class}">
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<img src="{avatar}" class="{avatar_class}" />
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