Update app.py

app.py

@@ -212,6 +212,7 @@ def send_to_model(prompt, model_selection, hf_model_choice, hf_custom_model, hf_
     try:
         with gr.Progress() as progress:
             progress(0, "Preparing to send to model...")
+            logging.info("sending to model preparation.")
             
             # Basic input validation
             if model_selection not in ["Clipboard only", "HuggingFace Inference", "Groq API", "OpenAI ChatGPT"]:
@@ -228,6 +229,7 @@ def send_to_model(prompt, model_selection, hf_model_choice, hf_custom_model, hf_
             # Call implementation with error handling
             progress(0.5, "Processing with model...")
             try:
+                logging.info("calling send_to_model_impl.")
                 summary, download_file = send_to_model_impl(
                     prompt=prompt.strip(),
                     model_selection=model_selection,
@@ -239,6 +241,7 @@ def send_to_model(prompt, model_selection, hf_model_choice, hf_custom_model, hf_
                     openai_api_key=openai_api_key,
                     openai_model_choice=openai_model_choice
                 )
+                logging.info("summary received:", summary)
                 
                 if summary is None or not isinstance(summary, str):
                     return "Error: No response from model", None
@@ -262,6 +265,7 @@ def send_to_model(prompt, model_selection, hf_model_choice, hf_custom_model, hf_
 def send_to_model_impl(prompt, model_selection, hf_model_choice, hf_custom_model, hf_api_key,
                       groq_model_choice, groq_api_key, openai_api_key, openai_model_choice):
     """Implementation of model sending with improved error handling."""
+    logging.info("send to model impl commencing...")
     
     if model_selection == "Clipboard only":
         return "Text copied to clipboard. Use paste for processing.", None
@@ -281,6 +285,8 @@ def send_to_model_impl(prompt, model_selection, hf_model_choice, hf_custom_model
             return "Error: Invalid model selection", None
 
         # Validate response
+        logging.info("model told us:", summary)
+
         if not summary or not isinstance(summary, str):
             return "Error: Invalid response from model", None