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HonestAnnie
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Commit
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2e8a9c7
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Parent(s):
def34f2
jetzt aber
Browse files
app.py
CHANGED
@@ -1,9 +1,7 @@
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import os
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import gradio as gr
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import chromadb
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from sentence_transformers import SentenceTransformer
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import spaces
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@spaces.GPU
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@@ -15,12 +13,12 @@ def get_embeddings(query, task):
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# Initialize a persistent Chroma client and retrieve collection
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client = chromadb.PersistentClient(path="./chroma")
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def query_chroma(embeddings, authors, num_results=10):
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try:
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where_filter = {"author": {"$in": authors}} if authors else {}
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@@ -57,10 +55,11 @@ def query_chroma(embeddings, authors, num_results=10):
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# Main function
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def perform_query(query, authors, num_results):
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task = "Given a question, retrieve passages that answer the question"
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embeddings = get_embeddings(query, task)
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if "error" in results:
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return [gr.update(visible=True, value=f"Error: {results['error']}") for _ in range(max_textboxes * 2)]
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@@ -74,6 +73,9 @@ def perform_query(query, authors, num_results):
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return updates
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# Gradio interface
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max_textboxes = 30
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@@ -81,25 +83,29 @@ with gr.Blocks(css=".custom-markdown { border: 1px solid #ccc; padding: 10px; bo
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gr.Markdown("Enter your query, filter authors (default is all), click **Search** to search. Click **Flag** if a result is relevant to the query and interesting to you.")
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with gr.Row():
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with gr.Column():
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num_results_inp = gr.Number(label="number of results", value=10, step=1, minimum=1, maximum=max_textboxes)
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btn = gr.Button("Search")
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components = []
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textboxes = []
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for _ in range(max_textboxes):
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with gr.Column() as col:
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text_out = gr.Markdown(visible=False, elem_classes="custom-markdown")
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components.append(text_out)
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textboxes.append(text_out)
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btn.click(
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fn=perform_query,
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inputs=[inp, author_inp, num_results_inp],
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outputs=components
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)
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demo.launch()
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import os
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import gradio as gr
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import chromadb
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from sentence_transformers import SentenceTransformer
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import spaces
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@spaces.GPU
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# Initialize a persistent Chroma client and retrieve collection
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client = chromadb.PersistentClient(path="./chroma")
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collection_de = client.get_collection(name="phil_de")
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collection_en = client.get_collection(name="phil_en")
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authors_list_de = ["Ludwig Wittgenstein", "Sigmund Freud", "Marcus Aurelius", "Friedrich Nietzsche", "Epiktet", "Ernst Jünger", "Georg Christoph Lichtenberg", "Balthasar Gracian", "Hannah Arendt", "Erich Fromm", "Albert Camus"]
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authors_list_en = ["Friedrich Nietzsche", "Joscha Bach"]
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def query_chroma(collection, embeddings, authors, num_results=10):
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try:
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where_filter = {"author": {"$in": authors}} if authors else {}
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# Main function
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def perform_query(query, authors, num_results, database):
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task = "Given a question, retrieve passages that answer the question"
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embeddings = get_embeddings(query, task)
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collection = collection_de if database == "German" else collection_en
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results = query_chroma(collection, embeddings, authors, num_results)
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if "error" in results:
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return [gr.update(visible=True, value=f"Error: {results['error']}") for _ in range(max_textboxes * 2)]
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return updates
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def update_authors(database):
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return gr.update(choices=authors_list_de if database == "German" else authors_list_en)
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# Gradio interface
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max_textboxes = 30
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gr.Markdown("Enter your query, filter authors (default is all), click **Search** to search. Click **Flag** if a result is relevant to the query and interesting to you.")
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with gr.Row():
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with gr.Column():
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database_inp = gr.Dropdown(label="Database", choices=["English", "German"], value="German")
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inp = gr.Textbox(label="query", placeholder="Enter question...")
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author_inp = gr.Dropdown(label="authors", choices=authors_list_de, multiselect=True)
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num_results_inp = gr.Number(label="number of results", value=10, step=1, minimum=1, maximum=max_textboxes)
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btn = gr.Button("Search")
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components = []
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for _ in range(max_textboxes):
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with gr.Column() as col:
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text_out = gr.Markdown(visible=False, elem_classes="custom-markdown")
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components.append(text_out)
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btn.click(
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fn=perform_query,
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inputs=[inp, author_inp, num_results_inp, database_inp],
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outputs=components
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)
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database_inp.change(
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fn=update_authors,
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inputs=database_inp,
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outputs=author_inp
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)
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demo.launch()
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