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README (1).md

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----
-title: Financial RAG
-emoji: 📊
-colorFrom: blue
-colorTo: green
-sdk: gradio
-sdk_version: "4.11.0"
-app_file: app.py
-pinned: false
----
-
-# 📊 Financial RAG Model
-
-This is a Retrieval-Augmented Generation (RAG) model for answering financial queries based on company financial statements.
-
-## 🛠 How to Use
-1. **Upload a Financial PDF** (e.g., balance sheet, income statement).
-2. **Ask a Financial Question** related to the document.
-3. **Get an AI-generated response** based on relevant financial data.
-
-## 🚀 Built With
-- **FAISS & BM25** for document retrieval.
-- **Google Gemini API** for answer generation.
-- **Gradio** for the web interface.
-
-🔗 **Try it out in the Hugging Face Space!**

README.md

@@ -1,13 +1,26 @@
 ---
 title: Financial RAG
-emoji: 🐠
-colorFrom: red
+emoji: 📊
+colorFrom: blue
 colorTo: green
-sdk: streamlit
-sdk_version: 1.43.2
+sdk: gradio
+sdk_version: "4.11.0"
 app_file: app.py
 pinned: false
-short_description: Upload a company financial report PDF and ask relevant finan
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 📊 Financial RAG Model
+
+This is a Retrieval-Augmented Generation (RAG) model for answering financial queries based on company financial statements.
+
+## 🛠 How to Use
+1. **Upload a Financial PDF** (e.g., balance sheet, income statement).
+2. **Ask a Financial Question** related to the document.
+3. **Get an AI-generated response** based on relevant financial data.
+
+## 🚀 Built With
+- **FAISS & BM25** for document retrieval.
+- **Google Gemini API** for answer generation.
+- **Gradio** for the web interface.
+
+🔗 **Try it out in the Hugging Face Space!**