Remove API configuration forms from frontend - use environment variables only

app.py

@@ -99,9 +99,6 @@ def extract_paper_title_from_text(text: str) -> str:
 
 def review_paper(
     pdf_file,
-    api_key: str,
-    base_url: str,
-    model_name: str,
     search_related: bool,
     progress=gr.Progress()
 ) -> tuple[str, str, str, str, str]:
@@ -110,10 +107,10 @@ def review_paper(
     if pdf_file is None:
         return "Please upload a PDF file.", "", "", "", ""
 
-    # Get API credentials from environment or inputs
-    final_api_key = api_key if api_key else os.getenv("OPENAI_API_KEY", "")
-    final_base_url = base_url if base_url else os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
-    final_model = model_name if model_name else os.getenv("MODEL_NAME", "gpt-3.5-turbo")
+    # Get API credentials from environment variables
+    final_api_key = os.getenv("OPENAI_API_KEY", "")
+    final_base_url = os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
+    final_model = os.getenv("MODEL_NAME", "gpt-3.5-turbo")
 
     if not final_api_key or final_api_key.strip() == "":
         return "Please provide an API key or set OPENAI_API_KEY environment variable.", "", "", "", ""
@@ -213,27 +210,7 @@ with gr.Blocks(title="AI Literature Review System", theme=gr.themes.Soft()) as d
 
     with gr.Row():
         with gr.Column(scale=1):
-            gr.Markdown("### 📤 Upload & Configure")
-
-            with gr.Accordion("API Configuration", open=False):
-                api_key_input = gr.Textbox(
-                    label="API Key",
-                    type="password",
-                    placeholder="Leave empty to use OPENAI_API_KEY env var",
-                    info="Your OpenAI-compatible API key"
-                )
-
-                base_url_input = gr.Textbox(
-                    label="Base URL",
-                    placeholder="Leave empty to use OPENAI_BASE_URL env var or default",
-                    info="API base URL (e.g., https://api.openai.com/v1)"
-                )
-
-                model_input = gr.Textbox(
-                    label="Model Name",
-                    placeholder="Leave empty to use MODEL_NAME env var or default",
-                    info="Model identifier (e.g., gpt-4, gpt-3.5-turbo)"
-                )
+            gr.Markdown("### 📤 Upload Paper")
 
             pdf_input = gr.File(
                 label="Upload Research Paper (PDF)",
@@ -255,13 +232,9 @@ with gr.Blocks(title="AI Literature Review System", theme=gr.themes.Soft()) as d
             2. **Impactist**: Impact and significance
             3. **Novelty Seeker**: Originality and innovation
 
-            ### 🔧 Setup:
-            Set environment variables in `.env`:
-            ```bash
-            OPENAI_API_KEY=your-key-here
-            OPENAI_BASE_URL=https://api.openai.com/v1
-            MODEL_NAME=gpt-4
-            ```
+            ### ⏱️ Processing Time:
+            Expect 3-6 minutes for complete review
+            (Sequential processing with rate limiting)
             """)
 
         with gr.Column(scale=2):
@@ -285,18 +258,17 @@ with gr.Blocks(title="AI Literature Review System", theme=gr.themes.Soft()) as d
     # Connect the button to the review function
     submit_btn.click(
         fn=review_paper,
-        inputs=[pdf_input, api_key_input, base_url_input, model_input, search_related_checkbox],
+        inputs=[pdf_input, search_related_checkbox],
         outputs=[summary_output, review_1_output, review_2_output, review_3_output, related_papers_output]
     )
 
     gr.Markdown("""
     ---
     ### 📖 How to Use:
-    1. Configure your API settings (or use environment variables)
-    2. Upload your research paper in PDF format
-    3. Optionally enable Semantic Scholar search for related papers
-    4. Click "Review Paper" and wait for the sequential multi-agent analysis (2-5 minutes)
-    5. Review the detailed feedback from all three reviewers
+    1. Upload your research paper in PDF format
+    2. Optionally enable Semantic Scholar search for related papers
+    3. Click "Review Paper" and wait for the sequential multi-agent analysis (3-6 minutes)
+    4. Review the detailed feedback from all three reviewers
 
     ### 📊 Score Interpretation:
     - **9-10**: Award Quality / Strong Accept
@@ -306,10 +278,10 @@ with gr.Blocks(title="AI Literature Review System", theme=gr.themes.Soft()) as d
     - **1-2**: Reject
 
     ### ⚠️ Notes:
-    - Reviews are generated **sequentially** (one at a time) for better quality
-    - Processing time depends on paper length and API response time
+    - Reviews are generated **sequentially** (one at a time) with rate limiting
+    - Processing time: 3-6 minutes depending on paper length
     - Ensure your PDF contains extractable text (not scanned images)
-    - Semantic Scholar API is rate-limited; use moderately
+    - All API credentials are pre-configured
     """)