debugging chat

app.py

@@ -116,7 +116,7 @@ def infer(question, history):
     return result["result"]
 
 def bot(history):
-    print("history from bot: ",history[-1][0])
+   
     response = infer(history[-1][0], history)
     history[-1][1] = ""
     
@@ -126,7 +126,7 @@ def bot(history):
         yield history
 
 def add_text(history, text):
-    print("Add Text 1 history{} text{}:".format(history,text ))
+    
     history = history + [(text, None)]
     return history, ""
 
@@ -148,34 +148,42 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.HTML(title)
         
-        with gr.Column():
-            with gr.Box():
-                LLM_option = gr.Dropdown(['HuggingFace','OpenAI'],label='Large Language Model Selection',info='LLM Service')
-                API_key = gr.Textbox(label="Add API key", type="password")
+    with gr.Group():
+        chatbot = gr.Chatbot(height=300)
+        # with gr.Row():
+        # sources = gr.HTML(value = "Source paragraphs where I looked for answers will appear here", height=300)
+    with gr.Row():
+        question = gr.Textbox(label="Type your question?",lines=1).style(full_width=False)
+        submit_btn = gr.Button(value="Send message", variant="primary", scale = 1)
+
+    with gr.Column():
+        with gr.Box():
+            LLM_option = gr.Dropdown(['HuggingFace','OpenAI'],label='Large Language Model Selection',info='LLM Service')
+            API_key = gr.Textbox(label="Add API key", type="password")
                 
                 
-            with gr.Column():
-                with gr.Box():
-                    file_extension = gr.Dropdown(FILE_EXT, label="File Extensions", info="Select type of file to upload !")
-                    pdf_doc = gr.File(label="Upload File to start QA", file_types=FILE_EXT, type="file")
-                    with gr.Accordion(label='Advanced options', open=False):
-                        max_new_tokens = gr.Slider(
-                            label='Max new tokens',
-                            minimum=2048,
-                            maximum=MAX_NEW_TOKENS,
-                            step=1,
-                            value=DEFAULT_MAX_NEW_TOKENS,
-                            )
-                        temperature = gr.Slider(
-                        label='Temperature',
-                        minimum=0.1,
-                        maximum=4.0,
-                        step=0.1,
-                        value=DEFAULT_TEMPERATURE,
+        with gr.Column():
+            with gr.Box():
+                file_extension = gr.Dropdown(FILE_EXT, label="File Extensions", info="Select type of file to upload !")
+                pdf_doc = gr.File(label="Upload File to start QA", file_types=FILE_EXT, type="file")
+                with gr.Accordion(label='Advanced options', open=False):
+                    max_new_tokens = gr.Slider(
+                        label='Max new tokens',
+                        minimum=2048,
+                        maximum=MAX_NEW_TOKENS,
+                        step=1,
+                        value=DEFAULT_MAX_NEW_TOKENS,
                         )
-                    with gr.Row():
-                        langchain_status = gr.Textbox(label="Status", placeholder="", interactive = False)
-                        load_pdf = gr.Button("Upload File & Generate Embeddings",).style(full_width = False)
+                    temperature = gr.Slider(
+                    label='Temperature',
+                    minimum=0.1,
+                    maximum=4.0,
+                    step=0.1,
+                    value=DEFAULT_TEMPERATURE,
+                    )
+                with gr.Row():
+                    langchain_status = gr.Textbox(label="Status", placeholder="", interactive = False)
+                    load_pdf = gr.Button("Upload File & Generate Embeddings",).style(full_width = False)
 
         # chatbot = gr.Chatbot()l̥
         # question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter")
@@ -184,16 +192,8 @@ with gr.Blocks(css=css) as demo:
     load_pdf.click(loading_file, None, langchain_status, queue=False)    
     load_pdf.click(document_loader, inputs=[pdf_doc,API_key,file_extension,LLM_option,temperature,max_new_tokens], outputs=[langchain_status], queue=False)
         
-    with gr.Group():
-        chatbot = gr.Chatbot(height=300)
-        # with gr.Row():
-            # sources = gr.HTML(value = "Source paragraphs where I looked for answers will appear here", height=300)
-        with gr.Row():
-            question = gr.Textbox(label="Type your question?",lines=1).style(full_width=False)
-            submit_btn = gr.Button(value="Send message", variant="primary", scale = 1)
+    
     question.submit(add_text, [chatbot, question], [chatbot, question]).then(bot, chatbot, chatbot)
     submit_btn.click(add_text, [chatbot, question], [chatbot, question]).then(bot, chatbot, chatbot)
 
-    
-
 demo.launch()