scroll in resources
Browse files- app.py +37 -1
- utils/__pycache__/generator.cpython-310.pyc +0 -0
- utils/generator.py +1 -1
app.py
CHANGED
@@ -212,6 +212,42 @@ custom_css = """
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padding: 8px !important; /* Cell padding */
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}
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/* Alternative size classes - change elem_classes="dataframe-small" in DataFrame component */
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.dataframe-small table { font-size: 10px !important; }
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.dataframe-small th { font-size: 11px !important; }
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@@ -334,7 +370,7 @@ with gr.Blocks(title="Gina Bot", theme=theme, css=custom_css) as demo:
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sample_groups.append(group_examples)
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# Sources Tab
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-
with gr.Tab("Fuentes", id=1):
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sources_textbox = gr.HTML(
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show_label=False,
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value="Los documentos originales aparecerán aquí después de que hagas una pregunta..."
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padding: 8px !important; /* Cell padding */
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}
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+
@media screen and (min-width: 1024px) {
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div#tab-examples{
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height:calc(100vh - 190px) !important;
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overflow-y: auto;
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}
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div#sources-textbox{
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height:calc(100vh - 190px) !important;
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overflow-y: auto !important;
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}
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div#tab-config{
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height:calc(100vh - 190px) !important;
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overflow-y: auto !important;
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}
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div#chatbot-row{
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height:calc(100vh - 90px) !important;
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}
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div#chatbot{
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height:calc(100vh - 170px) !important;
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}
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.max-height{
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height:calc(100vh - 90px) !important;
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overflow-y: auto;
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}
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/* .tabitem:nth-child(n+3) {
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padding-top:30px;
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padding-left:40px;
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padding-right:40px;
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} */
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}
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/* Alternative size classes - change elem_classes="dataframe-small" in DataFrame component */
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.dataframe-small table { font-size: 10px !important; }
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.dataframe-small th { font-size: 11px !important; }
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sample_groups.append(group_examples)
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# Sources Tab
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with gr.Tab("Fuentes", id=1, elem_id="sources-textbox"):
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sources_textbox = gr.HTML(
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show_label=False,
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value="Los documentos originales aparecerán aquí después de que hagas una pregunta..."
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utils/__pycache__/generator.cpython-310.pyc
CHANGED
Binary files a/utils/__pycache__/generator.cpython-310.pyc and b/utils/__pycache__/generator.cpython-310.pyc differ
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utils/generator.py
CHANGED
@@ -266,7 +266,7 @@ async def generate(query: str, context: Union[str, List[Dict[str, Any]]]) -> str
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# # Process the retrieval results
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# processed_results = extract_relevant_fields(context)
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-
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# if not formatted_context.strip():
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# return "Error: No valid content found in retrieval results"
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# # Process the retrieval results
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# processed_results = extract_relevant_fields(context)
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formatted_context = context
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# if not formatted_context.strip():
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# return "Error: No valid content found in retrieval results"
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