rafaelpo commited on
Commit
379a533
·
verified ·
1 Parent(s): da1000c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +12 -10
app.py CHANGED
@@ -202,19 +202,22 @@ def expand_research(df: pd.DataFrame) -> pd.DataFrame:
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  with gr.Blocks(
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- title="everyrow research",
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  css=".error-box { background: #fee; border: 1px solid #c00; border-radius: 8px; padding: 12px; color: #900; }",
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  ) as demo:
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  gr.Markdown(
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  """
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- # everyrow research
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- Upload a CSV, describe what you want to research for each row, and get
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- enriched results powered by [everyrow](https://everyrow.io).
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-
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- Get your API key at [everyrow.io/api-key](https://everyrow.io/api-key) ($20 free credit).
 
 
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  """
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  )
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  api_key = gr.Textbox(
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  label="everyrow API key",
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  type="password",
@@ -227,8 +230,8 @@ with gr.Blocks(
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  preview_table = gr.Dataframe(label="Input preview", visible=False)
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  query = gr.Textbox(
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- label="Research query",
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- placeholder="e.g. Find this company's latest funding round and amount",
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  lines=3,
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  )
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@@ -242,8 +245,7 @@ with gr.Blocks(
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  # --- Output fields form builder ---
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  gr.Markdown("### Output fields")
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  gr.Markdown(
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- "*Define output columns with name, type, and description. "
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- "Leave empty for the default answer column.*"
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  )
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  fields_state = gr.State([])
 
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  with gr.Blocks(
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+ title="everyrow annotate – AI Data Annotation & Web Research",
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  css=".error-box { background: #fee; border: 1px solid #c00; border-radius: 8px; padding: 12px; color: #900; }",
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  ) as demo:
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  gr.Markdown(
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  """
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+ # 🏷️ everyrow annotate – AI Data Annotation & Web Research
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+
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+ **everyrow annotate** uses AI research agents to **label, verify, and enrich data** row by row using live web information.
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+
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+ Upload a CSV, describe what you want to annotate or find, and get structured results for every row — perfect for **data annotation, dataset enrichment, and research at scale**.
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+
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+ 🔑 Get your API key at [everyrow.io/api-key](https://everyrow.io/api-key) ($20 free credit).
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  """
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  )
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+
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  api_key = gr.Textbox(
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  label="everyrow API key",
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  type="password",
 
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  preview_table = gr.Dataframe(label="Input preview", visible=False)
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  query = gr.Textbox(
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+ label="Annotation or research instruction",
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+ placeholder="e.g. Label each companys industry and whether it is B2B or B2C",
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  lines=3,
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  )
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  # --- Output fields form builder ---
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  gr.Markdown("### Output fields")
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  gr.Markdown(
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+ "*Define the structured fields you want the AI to annotate for each row. Leave empty to return a single answer column.*"
 
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  )
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  fields_state = gr.State([])