fix: Support both GOOGLE_API_KEY and GEMINI_API_KEY env vars for HuggingFace compatibility

DEPLOYMENT_HUGGINGFACE.md

@@ -71,11 +71,19 @@ git push huggingface main
 2. Click **Settings** tab
 3. Scroll to **Repository secrets**
 4. Click **New secret**
-5. Add:
+5. Add **both** secrets (code supports both names):
    - **Name**: `GEMINI_API_KEY`
-   - **Value**: Your Google Gemini API key
+   - **Value**: Your Google Gemini API key (from .env file)
+   - Click **Add** 
+   
+   Also add:
+   - **Name**: `LLM_PROVIDER`
+   - **Value**: `gemini`
+   - Click **Add**
 6. Click **Save**
 
+**Note**: The code supports both `GOOGLE_API_KEY` and `GEMINI_API_KEY` for compatibility.
+
 ### Step 6: Wait for Build
 
 HuggingFace will automatically:

README_SPACES.md

@@ -49,13 +49,16 @@ This ensures smooth operation even with large datasets on HuggingFace's 16GB RAM
 
 ## Environment Variables
 
-Set `GEMINI_API_KEY` in HuggingFace Spaces settings (Settings → Repository secrets):
+Set these in HuggingFace Spaces settings (Settings → Repository secrets):
 
-```
-GEMINI_API_KEY=your_google_gemini_api_key_here
-```
+**Required:**
+- `GEMINI_API_KEY` - Your Google Gemini API key (get from https://aistudio.google.com/app/apikey)
+- `LLM_PROVIDER` - Set to `gemini` to use Gemini (or `groq` if you have Groq API key)
+
+**Optional:**
+- `GROQ_API_KEY` - Only if using Groq provider instead of Gemini
 
-Get your API key from: https://aistudio.google.com/app/apikey
+**Note**: The code supports both `GOOGLE_API_KEY` and `GEMINI_API_KEY` environment variable names.
 
 ## Local Development
 

src/api/app.py

@@ -365,11 +365,11 @@ async def chat(request: ChatRequest) -> JSONResponse:
         latest_message = user_messages[-1].content
         
         # Check for API key
-        api_key = os.getenv("GOOGLE_API_KEY")
+        api_key = os.getenv("GOOGLE_API_KEY") or os.getenv("GEMINI_API_KEY")
         if not api_key:
             raise HTTPException(
                 status_code=500,
-                detail="GOOGLE_API_KEY not configured. Please set the environment variable."
+                detail="GOOGLE_API_KEY or GEMINI_API_KEY not configured. Please set the environment variable."
             )
         
         # Use Google Gemini API

src/orchestrator.py

@@ -170,9 +170,9 @@ class DataScienceCopilot:
             
         elif self.provider == "gemini":
             # Initialize Gemini client
-            api_key = google_api_key or os.getenv("GOOGLE_API_KEY")
+            api_key = google_api_key or os.getenv("GOOGLE_API_KEY") or os.getenv("GEMINI_API_KEY")
             if not api_key:
-                raise ValueError("Google API key must be provided or set in GOOGLE_API_KEY env var")
+                raise ValueError("Google API key must be provided or set in GOOGLE_API_KEY or GEMINI_API_KEY env var")
             
             genai.configure(api_key=api_key)
             self.model = os.getenv("GEMINI_MODEL", "gemini-2.0-flash-exp")