Rename to studyrag, switch to Groq API, add deployment files

studyrag/.env.example

@@ -0,0 +1,3 @@
+GROQ_API_KEY=your_groq_api_key_here
+PORT=8000
+HOST=0.0.0.0

studyrag/Procfile

@@ -0,0 +1 @@
+web: uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-8000}

{docsense-rag → studyrag}/README.md

@@ -52,7 +52,7 @@ A full-stack Retrieval-Augmented Generation (RAG) system for intelligent documen
 1. **Clone the repository**
 ```bash
 git clone <repository-url>
-cd docsense-rag
+cd studyrag
 ```
 
 2. **Create virtual environment**
@@ -208,7 +208,7 @@ GET /status
 ## Project Structure
 
 ```
-docsense-rag/
+studyrag/
 ├── app/
 │   ├── __init__.py
 │   ├── main.py              # FastAPI application

{docsense-rag → studyrag}/app/config.py

@@ -3,7 +3,7 @@ from pathlib import Path
 
 
 class Settings(BaseSettings):
-    google_api_key: str
+    groq_api_key: str
     host: str = "0.0.0.0"
     port: int = 8000
     upload_dir: Path = Path("uploads")

{docsense-rag → studyrag}/app/main.py

@@ -179,9 +179,11 @@ async def reset_index():
     try:
         rag_service.reset_index()
 
-        for file_path in settings.upload_dir.glob("*"):
-            if file_path.is_file():
-                file_path.unlink()
+        # Only try to delete files if uploads directory exists
+        if settings.upload_dir.exists():
+            for file_path in settings.upload_dir.glob("*"):
+                if file_path.is_file():
+                    file_path.unlink()
 
         return StatusResponse(
             status="success",

{docsense-rag → studyrag}/app/services/rag_service.py

@@ -1,5 +1,5 @@
 from llama_index.core import VectorStoreIndex, Document, Settings
-from llama_index.llms.gemini import Gemini
+from llama_index.llms.groq import Groq
 from llama_index.embeddings.huggingface import HuggingFaceEmbedding
 from llama_index.core.chat_engine import CondensePlusContextChatEngine
 from typing import Optional, AsyncGenerator, List
@@ -11,7 +11,7 @@ import os
 class RAGService:
 
     def __init__(self):
-        os.environ["GOOGLE_API_KEY"] = settings.google_api_key
+        os.environ["GROQ_API_KEY"] = settings.groq_api_key
         self._llm_initialized = False
         self.index: Optional[VectorStoreIndex] = None
         self.chat_engine = None
@@ -19,8 +19,8 @@ class RAGService:
 
     def _initialize_llm(self):
         if not self._llm_initialized:
-            Settings.llm = Gemini(model="models/gemini-2.5-flash")
-            # Use local HuggingFace embeddings to avoid API quota limits
+            Settings.llm = Groq(model="llama-3.1-8b-instant", api_key=settings.groq_api_key)
+            # Use local HuggingFace embeddings (free, no API needed)
             Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
             self._llm_initialized = True
 

{docsense-rag → studyrag}/docker-compose.yml

@@ -1,12 +1,12 @@
 version: '3.8'
 
 services:
-  docsense-rag:
+  studyrag:
     build: .
     ports:
       - "8000:8000"
     environment:
-      - GOOGLE_API_KEY=${GOOGLE_API_KEY}
+      - GROQ_API_KEY=${GROQ_API_KEY}
       - HOST=0.0.0.0
       - PORT=8000
     volumes:

{docsense-rag → studyrag}/requirements.txt

@@ -2,8 +2,7 @@ fastapi>=0.115.0
 uvicorn[standard]>=0.32.0
 python-multipart>=0.0.12
 llama-index>=0.12.0
-llama-index-llms-gemini>=0.6.0
-llama-index-embeddings-gemini>=0.3.0
+llama-index-llms-groq>=0.3.0
 llama-index-embeddings-huggingface>=0.4.0
 pypdf>=5.1.0
 pymupdf>=1.24.0

studyrag/runtime.txt

@@ -0,0 +1 @@
+3.11

{docsense-rag → studyrag}/static/js/app.js

@@ -325,15 +325,8 @@ resetBtn.addEventListener('click', async () => {
 
         if (response.ok) {
             alert(data.message);
-            chatMessages.innerHTML = `
-                <div class="empty-state">
-                    <div class="empty-icon">💬</div>
-                    <h3>Start a Conversation</h3>
-                    <p>Ask me anything about your indexed documents</p>
-                </div>
-            `;
-            clearAllResults();
-            await updateStatus();
+            // Force page reload to clear all state
+            window.location.reload();
         } else {
             alert(data.detail || 'Reset failed');
         }