Update app.py

app.py

@@ -112,10 +112,10 @@ convo = model.start_chat(history=[
 
 
 def gemini_chat(message, history):
-    response = chat.send_message(message)
+    response = convo.send_message(message)
     return response.text
 
-chat = model.start_chat()
+#chat = model.start_chat()
 
 gr.ChatInterface(
     fn=gemini_chat,
@@ -126,81 +126,7 @@ gr.ChatInterface(
                        likeable=True, 
                        layout="panel"
                       ),
-    title="PaLM-2",
-    description="This is unofficial demo of ```PaLM-2``` based on ```Google API```. ```History/context``` memory does not work in this demo.",
+    title="LLAVA: Large Language Virtual Assistant",
+    description="Official Demo Of ```LLAVA``` based on ```Large Language Virtual Assistant ```.,
     concurrency_limit=20,
-).launch(show_api=False)
-
-
-
-
-
-
-
-
-
-"""import PIL.Image
-import gradio as gr
-import base64
-import time
-import os
-import google.generativeai as genai
-
-# Set Google API key 
-genai.configure(api_key = os.environ['GOOGLE_PALM_KEY'])
-
-# Create the Model
-txt_model = genai.GenerativeModel('gemini-pro')
-vis_model = genai.GenerativeModel('gemini-pro-vision')
-
-# Image to Base 64 Converter
-def image_to_base64(image_path):
-    with open(image_path, 'rb') as img:
-        encoded_string = base64.b64encode(img.read())
-    return encoded_string.decode('utf-8')
-
-# Function that takes User Inputs and displays it on ChatUI
-def query_message(history,txt,img):
-    if not img:
-        history += [(txt,None)]
-        return history
-    base64 = image_to_base64(img)
-    data_url = f"data:image/jpeg;base64,{base64}"
-    history += [(f"{txt} ![]({data_url})", None)]
-    return history
-
-# Function that takes User Inputs, generates Response and displays on Chat UI
-def llm_response(history,text,img):
-    if not img:
-        response = txt_model.generate_content(text)
-        history += [(None,response.text)]
-        return history
-
-    else:
-        img = PIL.Image.open(img)
-        response = vis_model.generate_content([text,img])
-        history += [(None,response.text)]
-        return history
-
-# Interface Code
-with gr.Blocks() as app:
-    with gr.Row():
-        chatbot = gr.Chatbot(
-            scale = 2,
-            height=750
-        )
-    text_box = gr.Textbox(
-            placeholder="Enter text and press enter, or upload an image",
-            container=False,
-        )
-
-    btn = gr.Button("Submit")
-    clicked = btn.click(query_message,
-                        [chatbot,text_box],
-                        chatbot
-                        ).then(llm_response,
-                                [chatbot,text_box],
-                                chatbot
-                                )
-app.queue()
-app.launch(debug=True)"""
+).launch(show_api=True)