try 3

app.py

@@ -4,13 +4,23 @@ import anthropic
 import google.generativeai as genai
 import os
 import asyncio
+import logging
 from dotenv import load_dotenv
 
+# Set up logging to diagnose initialization issues
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
 # Load environment variables
 load_dotenv()
-openai.api_key = os.getenv("OPENAI_API_KEY")
-anthropic_client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
-genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
+try:
+    openai.api_key = os.getenv("OPENAI_API_KEY")
+    anthropic_client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
+    genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
+    logger.info("Environment variables loaded successfully")
+except Exception as e:
+    logger.error(f"Error loading environment variables: {str(e)}")
+    raise
 
 # Initialize conversation history
 def initialize_chat():
@@ -30,6 +40,7 @@ async def get_openai_response(messages):
         )
         return "ChatGPT (OpenAI)", response.choices[0].message["content"]
     except Exception as e:
+        logger.error(f"OpenAI error: {str(e)}")
         return "ChatGPT (OpenAI)", f"Error: {str(e)}"
 
 async def get_claude_response(messages):
@@ -46,6 +57,7 @@ async def get_claude_response(messages):
         )
         return "Claude (Anthropic)", response.content[0].text
     except Exception as e:
+        logger.error(f"Claude error: {str(e)}")
         return "Claude (Anthropic)", f"Error: {str(e)}"
 
 async def get_gemini_response(messages):
@@ -61,6 +73,7 @@ async def get_gemini_response(messages):
         )
         return "Gemini (Google)", response.text
     except Exception as e:
+        logger.error(f"Gemini error: {str(e)}")
         return "Gemini (Google)", f"Error: {str(e)}"
 
 # Main async function to query selected models
@@ -90,7 +103,11 @@ async def query_selected_models(message, history, use_openai, use_claude, use_ge
         tasks.append(get_gemini_response(messages))
 
     # Run selected API calls concurrently
-    responses = await asyncio.gather(*tasks, return_exceptions=True)
+    try:
+        responses = await asyncio.gather(*tasks, return_exceptions=True)
+    except Exception as e:
+        logger.error(f"Error in asyncio.gather: {str(e)}")
+        return f"Error querying models: {str(e)}", history
 
     # Format responses
     response_text = ""
@@ -99,49 +116,54 @@ async def query_selected_models(message, history, use_openai, use_claude, use_ge
 
     # Update history
     history.append((message, response_text.strip()))
+    logger.info("Query processed successfully")
 
     return "", history
 
 # Gradio interface
-with gr.Blocks(theme=gr.themes.Soft(), title="Multi-Model AI Selector") as demo:
-    gr.Markdown(
-        """
-        # Multi-Model AI Chat Interface
-        Select one or more models to query and enter your question below. Responses will appear in the chat window.
-        """
-    )
-    
-    # Model selection checkboxes
-    with gr.Row():
-        use_openai = gr.Checkbox(label="ChatGPT (OpenAI)", value=True)
-        use_claude = gr.Checkbox(label="Claude (Anthropic)", value=True)
-        use_gemini = gr.Checkbox(label="Gemini (Google)", value=True)
-
-    # Chat interface
-    chatbot = gr.Chatbot(label="Conversation", height=400)
-    msg = gr.Textbox(placeholder="Type your query...", label="Your Query")
-    with gr.Row():
-        submit = gr.Button("Submit Query")
-        clear = gr.Button("Clear Chat")
-
-    # Bind query function to submit button and textbox (Enter key)
-    submit.click(
-        fn=query_selected_models,
-        inputs=[msg, chatbot, use_openai, use_claude, use_gemini],
-        outputs=[msg, chatbot]
-    )
-    msg.submit(
-        fn=query_selected_models,
-        inputs=[msg, chatbot, use_openai, use_claude, use_gemini],
-        outputs=[msg, chatbot]
-    )
-
-    # Clear chat history
-    clear.click(
-        fn=lambda: (None, []),
-        inputs=None,
-        outputs=[msg, chatbot]
-    )
-
-# Launch the app (commented out for Hugging Face deployment)
-# demo.launch()
+try:
+    with gr.Blocks(theme=gr.themes.Soft(), title="Multi-Model AI Selector") as demo:
+        gr.Markdown(
+            """
+            # Multi-Model AI Chat Interface
+            Select one or more models to query and enter your question below. Responses will appear in the chat window.
+            """
+        )
+        
+        # Model selection checkboxes
+        with gr.Row():
+            use_openai = gr.Checkbox(label="ChatGPT (OpenAI)", value=True)
+            use_claude = gr.Checkbox(label="Claude (Anthropic)", value=True)
+            use_gemini = gr.Checkbox(label="Gemini (Google)", value=True)
+
+        # Chat interface
+        chatbot = gr.Chatbot(label="Conversation", height=400)
+        msg = gr.Textbox(placeholder="Type your query...", label="Your Query")
+        with gr.Row():
+            submit = gr.Button("Submit Query")
+            clear = gr.Button("Clear Chat")
+
+        # Bind query function to submit button and textbox (Enter key)
+        submit.click(
+            fn=query_selected_models,
+            inputs=[msg, chatbot, use_openai, use_claude, use_gemini],
+            outputs=[msg, chatbot]
+        )
+        msg.submit(
+            fn=query_selected_models,
+            inputs=[msg, chatbot, use_openai, use_claude, use_gemini],
+            outputs=[msg, chatbot]
+        )
+
+        # Clear chat history
+        clear.click(
+            fn=lambda: (None, []),
+            inputs=None,
+            outputs=[msg, chatbot]
+        )
+    logger.info("Gradio interface initialized successfully")
+except Exception as e:
+    logger.error(f"Error initializing Gradio interface: {str(e)}")
+    raise
+
+# Do not include demo.launch() for Hugging Face Spaces

requirements.txt

@@ -1,5 +1,6 @@
-gradio
-openai
-anthropic
-google-generativeai
-python-dotenv
+gradio==4.42.0
+openai==1.51.0
+anthropic==0.37.1
+google-generativeai==0.8.3
+python-dotenv==1.0.1
+httpx==0.27.2