Update app.py

app.py

@@ -31,29 +31,28 @@ def add_text(history, text):
     history = history + [(text, None)]
     return history, gr.Textbox(value="", interactive=False)
 
-def add_file(history, file):
-    history = history + [((file.name,), None)]
-    return history
-
-def bot(history, max_len, min_len, temp):
+def bot(history, max_length=100, min_length=20, temperature=1.0):
     prompt = history[-1][0]
-    response = generate_text(prompt, max_length=max_len, min_length=min_len, temperature=temp)
-    history[-1] = (prompt, response)
-    yield history
+    response = generate_text(prompt, max_length=max_length, min_length=min_length, temperature=temperature)
+    history[-1][1] = ""
+    for character in response:
+        history[-1][1] += character
+        time.sleep(0.05)
+        yield history
 
 with gr.Blocks() as demo:
     chatbot = gr.Chatbot(
         [],
         elem_id="chatbot",
         bubble_full_width=False,
-        avatar_images=(None, None),  # You can add an avatar image if needed
+        avatar_images=(None, None),  # Set avatar image path or URL
     )
 
     with gr.Row():
-        prompt_txt = gr.Textbox(
+        txt = gr.Textbox(
             scale=4,
             show_label=False,
-            placeholder="Enter text and press enter",
+            placeholder="Enter text and press enter, or upload an image",
             container=False,
         )
 
@@ -61,10 +60,10 @@ with gr.Blocks() as demo:
         min_len_slider = gr.Slider(0, 2048, 20, label="Min Length")
         temp_slider = gr.Slider(0.1, 2.0, 1.0, label="Temperature")
 
-    txt_msg = prompt_txt.submit(add_text, [chatbot, prompt_txt], [chatbot, prompt_txt], queue=False).then(
-        bot, chatbot, max_len_slider, min_len_slider, temp_slider, api_name="bot_response"
+    txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
+        bot, chatbot, chatbot, max_len_slider, min_len_slider, temp_slider
     )
-    txt_msg.then(lambda: gr.Textbox(interactive=True), None, [prompt_txt], queue=False)
+    txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
 
     chatbot.like(print_like_dislike, None, None)