Add Bright Data Dataset Tool

app.py

@@ -17,20 +17,4 @@ def run(dataset, url, keyword, first_name, last_name, days_limit, num_of_reviews
 
 with gr.Blocks() as demo:
     gr.Markdown("### Bright Data dataset fetch")
-    dataset = gr.Dropdown(choices=['amazon_product', 'amazon_product_reviews', 'amazon_product_search', 'apple_app_store', 'bestbuy_products', 'booking_hotel_listings', 'crunchbase_company', 'ebay_product', 'etsy_products', 'facebook_company_reviews', 'facebook_events', 'facebook_marketplace_listings', 'facebook_posts', 'github_repository_file', 'google_maps_reviews', 'google_play_store', 'google_shopping', 'homedepot_products', 'instagram_comments', 'instagram_posts', 'instagram_profiles', 'instagram_reels', 'linkedin_company_profile', 'linkedin_job_listings', 'linkedin_people_search', 'linkedin_person_profile', 'linkedin_posts', 'reddit_posts', 'reuter_news', 'tiktok_comments', 'tiktok_posts', 'tiktok_profiles', 'tiktok_shop', 'walmart_product', 'walmart_seller', 'x_posts', 'yahoo_finance_business', 'youtube_comments', 'youtube_profiles', 'youtube_videos', 'zara_products', 'zillow_properties_listing', 'zoominfo_company_profile'], label="Dataset", multiselect=False)
-    url = gr.Textbox(label="URL", placeholder="https://...")
-    keyword = gr.Textbox(label="Keyword")
-    first_name = gr.Textbox(label="First name")
-    last_name = gr.Textbox(label="Last name")
-    days_limit = gr.Textbox(label="Days limit (e.g. 3)")
-    num_of_reviews = gr.Textbox(label="Number of reviews")
-    num_of_comments = gr.Textbox(label="Number of comments")
-    run_btn = gr.Button("Run")
-    output = gr.Textbox(label="Output", lines=12)
-    run_btn.click(
-        run,
-        inputs=[dataset, url, keyword, first_name, last_name, days_limit, num_of_reviews, num_of_comments],
-        outputs=output,
-    )
-
-demo.launch()
+    dataset = gr.Dropdown(choices=

requirements.txt

@@ -1,4 +1,4 @@
 gradio
 requests
 smolagents
-{tool_module_name}
+tool

tool.py

@@ -1,8 +1,8 @@
 from typing import Any, Optional
 from smolagents.tools import Tool
-import requests
-import time
 import os
+import time
+import requests
 import json
 
 class BrightDataDatasetTool(Tool):
@@ -200,13 +200,14 @@ class BrightDataDatasetTool(Tool):
             instead of a long text field. Kept minimal: single-select dropdown,
             rest are simple text boxes.
             """
+            # NOTE: Keep the import literal (no f-strings) so the requirements scanner
+            # in smolagents doesn't accidentally treat {tool_module_name} as a package.
             choices = sorted(self.datasets.keys())
-            class_name = self.__class__.__name__
-            return f"""\
+            return """\
     import gradio as gr
-    from {tool_module_name} import {class_name}
+    from tool import BrightDataDatasetTool
 
-    tool = {class_name}()
+    tool = BrightDataDatasetTool()
 
     def run(dataset, url, keyword, first_name, last_name, days_limit, num_of_reviews, num_of_comments):
         return tool(
@@ -222,21 +223,4 @@ class BrightDataDatasetTool(Tool):
 
     with gr.Blocks() as demo:
         gr.Markdown("### Bright Data dataset fetch")
-        dataset = gr.Dropdown(choices={choices}, label="Dataset", multiselect=False)
-        url = gr.Textbox(label="URL", placeholder="https://...")
-        keyword = gr.Textbox(label="Keyword")
-        first_name = gr.Textbox(label="First name")
-        last_name = gr.Textbox(label="Last name")
-        days_limit = gr.Textbox(label="Days limit (e.g. 3)")
-        num_of_reviews = gr.Textbox(label="Number of reviews")
-        num_of_comments = gr.Textbox(label="Number of comments")
-        run_btn = gr.Button("Run")
-        output = gr.Textbox(label="Output", lines=12)
-        run_btn.click(
-            run,
-            inputs=[dataset, url, keyword, first_name, last_name, days_limit, num_of_reviews, num_of_comments],
-            outputs=output,
-        )
-
-    demo.launch()
-    """
+        dataset = gr.Dropdown(choices="""