Update README.md

README.md

@@ -8,66 +8,4 @@ sdk_version: "4.31.5"
 python_version: "3.10"
 app_file: app.py
 pinned: false
----# StreamSmart Recommender - Hugging Face Space with 2 n8n workflows
 
-Files included:
-- `app.py` - main Gradio app for Hugging Face Space
-- `requirements.txt` - Python dependencies
-- `n8n_processing_workflow.json` - import into n8n for full-result intake
-- `n8n_report_workflow.json` - import into n8n for top-recommendation reporting
-
-## 1) Hugging Face setup
-Create a new **Gradio Space** and replace the default files with:
-- `app.py`
-- `requirements.txt`
-
-Add these Space secrets:
-- `N8N_PROCESS_WEBHOOK_URL` = your production URL from the processing workflow
-- `N8N_REPORT_WEBHOOK_URL` = your production URL from the report workflow
-
-## 2) CSV formats
-### Reviews CSV required columns
-- `title`
-- `review_text`
-
-Optional:
-- `genre`
-- `rating`
-- `user_segment`
-
-### Watch-time CSV required columns
-- `title`
-- `genre`
-- `avg_watch_time`
-- `completion_rate`
-- `drop_off_rate`
-- `rewatch_rate`
-- `click_through_rate`
-
-Rates should be decimals such as `0.82`, not percentages like `82%`.
-
-## 3) n8n setup
-In n8n:
-1. Import `n8n_processing_workflow.json`
-2. Import `n8n_report_workflow.json`
-3. Open each Webhook node and copy the **Production URL**
-4. Paste those URLs into the two Hugging Face Space secrets above
-5. Rebuild the Space
-
-## 4) What each workflow does
-### Processing workflow
-- receives the full scored dataset from the app
-- counts how many titles fall into each action category
-- returns the top title and a short status message
-
-### Report workflow
-- receives the top recommendations and all results
-- computes average recommendation score by genre
-- returns a text summary you can show in the app
-
-## 5) What the app does
-- scores review sentiment with VADER
-- merges title-level sentiment with watch metrics
-- computes a weighted recommendation score
-- labels each title with a business action
-- sends results to two separate n8n workflows