Spaces:
Sleeping
Sleeping
Prevent loading dataset if Help checkbox is not checked
Browse files
app.py
CHANGED
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@@ -7,18 +7,6 @@ from huggingface_hub import InferenceClient
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api_key = os.getenv("HF_API_KEY")
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client = InferenceClient(api_key=api_key)
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# Load the dataset
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dataset = load_dataset("andreska/adregadocs", split="test")
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# Function to read the content from the dataset
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def read_dataset(dataset):
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text = []
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for item in dataset:
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text.append(item['text'])
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return "\n".join(text)
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context = read_dataset(dataset)
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# Inject custom CSS to change the background color to yellow
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st.markdown(
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"""
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@@ -39,6 +27,20 @@ if 'conversation' not in st.session_state:
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if 'include_context' not in st.session_state:
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st.session_state.include_context = False
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def handle_submit():
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user_input = st.session_state.user_input
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if user_input:
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@@ -66,5 +68,8 @@ def handle_submit():
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else:
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st.write("Please enter a question.")
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st.text_input('Ask me a question', key='user_input', on_change=handle_submit)
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st.text_area("Conversation History", value=st.session_state.conversation, height=300, max_chars=None)
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api_key = os.getenv("HF_API_KEY")
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client = InferenceClient(api_key=api_key)
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# Inject custom CSS to change the background color to yellow
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st.markdown(
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"""
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if 'include_context' not in st.session_state:
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st.session_state.include_context = False
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if include_context:
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dataset = load_dataset("andreska/adregadocs", split="test")
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# Function to read the content from the dataset
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def read_dataset(dataset):
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text = []
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for item in dataset:
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text.append(item['text'])
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return "\n".join(text)
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context = read_dataset(dataset)
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else:
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context = ""
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def handle_submit():
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user_input = st.session_state.user_input
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if user_input:
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else:
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st.write("Please enter a question.")
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if st.button("Ask"):
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handle_submit()
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st.text_input('Ask me a question', key='user_input', on_change=handle_submit)
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st.text_area("Conversation History", value=st.session_state.conversation, height=300, max_chars=None)
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