Update ✨Entity Linking Application✨.py
Browse files- ✨Entity Linking Application✨.py +69 -75
✨Entity Linking Application✨.py
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@@ -283,7 +283,6 @@ def main_cli():
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input_sentence_user = st.text_input("Enter a sentence:", "", disabled=st.session_state.running)
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input_mention_user = st.text_input("Enter a textural reference (mention) that is inside the sentence:", "", disabled=st.session_state.running)
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deep_search = st.selectbox("Perform deep search? (Useful for difficult mentions)", ['Yes', 'No'], index=1, disabled=st.session_state.running)
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disambi = st.selectbox("Run acronym disambiguation? (Enable it if the mention include an acronym or if it is nested)", ['Yes', 'No'], index=0, disabled=st.session_state.running)
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if st.button("Run Entity Linking", key="run_button", disabled=st.session_state.running):
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if input_sentence_user and input_mention_user:
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@@ -296,82 +295,77 @@ def main_cli():
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list_with_full_names = []
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list_with_names_to_show = []
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print(response.choices[0].message.content)
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for i in kati:
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context = i.split(":")[-1].strip()
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original_name = i.split(":")[0].strip()
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list_with_full_names.append(context)
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list_with_names_to_show.append(original_name)
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name = ",".join(list_with_full_names)
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else:
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name = input_mention_user
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list_with_full_names.append(name)
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list_with_names_to_show.append(name)
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input_sentence_user = input_sentence_user.replace(input_mention_user, name) # Changing the mention to the correct one
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input_sentence_user = st.text_input("Enter a sentence:", "", disabled=st.session_state.running)
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input_mention_user = st.text_input("Enter a textural reference (mention) that is inside the sentence:", "", disabled=st.session_state.running)
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deep_search = st.selectbox("Perform deep search? (Useful for difficult mentions)", ['Yes', 'No'], index=1, disabled=st.session_state.running)
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if st.button("Run Entity Linking", key="run_button", disabled=st.session_state.running):
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if input_sentence_user and input_mention_user:
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list_with_full_names = []
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list_with_names_to_show = []
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response = client.chat.completions.create(
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messages=[
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{
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"role": "system",
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"content": """
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I will give you one or more labels within a sentence. Your task is as follows:
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Identify each label in the sentence, and check if it is an acronym.
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If the label is an acronym, respond with the full name of the acronym.
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If the label is not an acronym, respond with the label exactly as it was given to you.
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If a label contains multiple terms (e.g., 'phase and DIC microscopy'), treat each term within the label as a separate label.
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This means you should identify and explain each part of the label individually.
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Each part should be on its own line in the response.
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Context-Specific Terms: If the sentence context suggests a relevant term that applies to each label (such as "study" in 'morphological, sedimentological, and stratigraphical study'), add that term to each label’s explanation.
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Use context clues to determine the appropriate term to add (e.g., 'study' or 'microscopy').
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Output Format: Your response should contain only the explanations, formatted as follows:
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Each label or part of a label should be on a new line.
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Do not include any additional text, and do not repeat the original sentence.
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Example 1:
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Input:
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label: phase and DIC microscopy
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context: Tardigrades have been extracted from samples using centrifugation with Ludox AM™ and mounted on individual microscope slides in Hoyer's medium for identification under phase and DIC microscopy.
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Expected response:
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phase: phase microscopy
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DIC microscopy: Differential interference contrast microscopy
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Example 2:
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Input:
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label: morphological, sedimentological, and stratigraphical study
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context: This paper presents results of a morphological, sedimentological, and stratigraphical study of relict beach ridges formed on a prograded coastal barrier in Bream Bay, North Island New Zealand.
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Expected response:
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morphological: morphological study
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sedimentological: sedimentological study
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stratigraphical: stratigraphical study
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IMPORTANT:
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Each label, even if nested within another, should be treated as an individual item.
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Each individual label or acronym should be output on a separate line.
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"""
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},
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{
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"role": "user",
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"content": f"label:{input_mention_user}, context:{input_sentence_user}"
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}
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],
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temperature=1.0,
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top_p=1.0,
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max_tokens=1000,
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model=model_name
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)
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kati = response.choices[0].message.content.splitlines()
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print(response.choices[0].message.content)
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for i in kati:
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context = i.split(":")[-1].strip()
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original_name = i.split(":")[0].strip()
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list_with_full_names.append(context)
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list_with_names_to_show.append(original_name)
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name = ",".join(list_with_full_names)
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input_sentence_user = input_sentence_user.replace(input_mention_user, name) # Changing the mention to the correct one
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