Update app.py

app.py

@@ -71,11 +71,10 @@ class ToolBase:
         self.json_name = programmatic_name
         self.json_description = passive_voice_description_of_function
         
-        # Fix: Explicitly set additionalProperties to avoid Gradio JSON schema parsing issue
+        # Fix: Avoid additionalProperties entirely to prevent Gradio JSON schema parsing issue
         parameters_schema = {
             "type": "object",
-            "properties": input_params,
-            "additionalProperties": False  # Explicitly set to False
+            "properties": input_params
         }
         
         if required_params:
@@ -173,13 +172,11 @@ class ArxivSearchTool(ToolBase):
                 },
                 "max_results": {
                     "type": "integer",
-                    "description": "Maximum number of results to return (default: 5)",
-                    "default": 5
+                    "description": "Maximum number of results to return (default: 5)"
                 },
                 "sort_by": {
                     "type": "string",
-                    "description": "Sort criteria (e.g., 'relevance', 'lastUpdatedDate', 'submittedDate')",
-                    "default": "relevance"
+                    "description": "Sort criteria (e.g., 'relevance', 'lastUpdatedDate', 'submittedDate')"
                 }
             },
             required_params=["query"],
@@ -314,10 +311,12 @@ def get_weather_data(location):
     full_url = base_url + "?" + "&".join([f"{k}={urllib.parse.quote(str(v))}" for k, v in params.items()])
     try:
         response = requests.get(full_url)
-    except:
+        lgs("RAW RESPONSE: " + str(response))
+    except Exception as e:
         lgs("FAILED PARAMS: " + str(params))
-        lgs("FAILED RESPONSE: " + str(response.text))
-    lgs("RAW RESPONSE: " + str(response))
+        lgs("FAILED ERROR: " + str(e))
+        return {"error": f"Failed to retrieve weather data for {location}. Error: {str(e)}"}
+    
     if response.status_code != 200:
         return {"error": f"Failed to retrieve weather data for {location}. Status code: {response.status_code}"}
     data = response.json()
@@ -533,25 +532,20 @@ llm = LLM(max_model_len=32000)
 
 lgs("STARTING NEW CHAT")
 
-# Alternative fix: Use a simpler Gradio interface that doesn't trigger the JSON schema parsing issue
+# Fix: Use simpler Gradio configuration to avoid JSON schema parsing issues
 with gr.Blocks() as demo:
     gr.Markdown("<h2>Weather/Arxiv/SNP Multi-tool Calling Bot</h2>")
     chat_state = gr.State([])
-    chatbot = gr.Chatbot(label="Chat with the multi-tool bot", type="messages")
+    # Use default tuple format instead of messages to avoid schema issues
+    chatbot = gr.Chatbot(label="Chat with the multi-tool bot")
     user_input = gr.Textbox(
         lines=1,
         placeholder="Type your message here...",
     )
     gr.Examples([
-            [
-                "What is the current weather in Åfjord?",
-            ],
-            [
-                "List some papers about humor in LLMs",
-            ],
-            [
-                "What does this SNP do?: rs429358",
-            ]
+            "What is the current weather in Åfjord?",
+            "List some papers about humor in LLMs",
+            "What does this SNP do?: rs429358"
         ],
         inputs=[user_input],
         label="Examples",
@@ -571,4 +565,8 @@ with gr.Blocks() as demo:
         queue=False
     )
     
-    demo.launch()
+    # Launch with minimal configuration to avoid schema generation issues
+    demo.queue(max_size=99).launch(
+        show_api=False,  # Disable API documentation generation
+        quiet=True       # Reduce verbose output
+    )