Update app.py

app.py

@@ -2,7 +2,7 @@ import warnings
 from huggingface_hub import InferenceClient
 import gradio as gr
 
-warnings.filterwarnings('ignore')
+#warnings.filterwarnings('ignore')
 
 # Initialize the language model
 generator = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
@@ -30,13 +30,18 @@ def generate_script(host_name, listener_location, causes_climate_change, co2_lev
         # Check if any section exceeds the target word count
         for i, count in enumerate(word_counts):
             if count > 200:
-                print(f"Warning: Section {i + 1} exceeds the target word count. You may need to shorten this section.")
+                return f"Warning: Section {i + 1} exceeds the target word count. You may need to shorten this section."
 
         return script
 
     except Exception as e:
-        print(f"Error: {e}")
-        return "An error occurred. Please check the console for details."
+        error_message = f"Error: {e}"
+
+        # Save error log to a file
+        with open("./error_log.txt", "a") as log_file:
+            log_file.write(error_message + "\n")
+
+        return error_message
 
 # Gradio interface setup...
 iface = gr.Interface(fn=generate_script,