Update app.py

app.py

@@ -31,7 +31,7 @@ from datasets import load_dataset
 #dataset = load_dataset("csv", data_files="./data.csv")
 
 
-DB_FILE = "./reviewsitr.db"
+DB_FILE = "./reviewsosa.db"
 
 TOKEN = os.environ.get('HF_KEY')
 
@@ -157,12 +157,52 @@ def load_data2():
     reviews2, total_reviews2 = get_latest_reviews2(db)
     db.close()
     return reviews2, total_reviews2
-    
+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):
+    response = "**That's cool!**"
+    history[-1][1] = ""
+    for character in response:
+        history[-1][1] += character
+        time.sleep(0.05)
+        yield history
 css="footer {visibility: hidden}"
 # Applying style to highlight the maximum value in each row
 #styler = df.style.highlight_max(color = 'lightgreen', axis = 0)
 with gr.Blocks(css=css) as demo:
     with gr.Row():
+        with gr.Column():
+            chatbot = gr.Chatbot(
+                [],
+                elem_id="chatbot",
+                bubble_full_width=False,
+                avatar_images=(None, (os.path.join(os.path.dirname(__file__), "avatar.png"))),
+            )
+        
+            with gr.Row():
+                txt = gr.Textbox(
+                    scale=4,
+                    show_label=False,
+                    placeholder="Enter text and press enter, or upload an image",
+                    container=False,
+                )
+                btn = gr.UploadButton("📁", file_types=["image", "video", "audio"])
+        
+            txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
+                bot, chatbot, chatbot, api_name="bot_response"
+            )
+            txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
+            file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(
+                bot, chatbot, chatbot
+            )
         with gr.Column():
             data = gr.Dataframe() #styler)
             count = gr.Number(label="Rates!")