Update app.py

app.py

@@ -2,13 +2,19 @@ import gradio as gr
 from gradio_client import Client
 from huggingface_hub import InferenceClient
 import random
-from deep_translator import GoogleTranslator
+ss_client = Client("https://omnibus-html-image-current-tab.hf.space/")
 
 models=[
-    "google/gemma-7b"
+    "google/gemma-7b",
+    "google/gemma-7b-it",
+    "google/gemma-2b",
+    "google/gemma-2b-it"
 ]
 clients=[
-InferenceClient(models[0])
+InferenceClient(models[0]),
+InferenceClient(models[1]),
+InferenceClient(models[2]),
+InferenceClient(models[3]),
 ]
 
 VERBOSE=False
@@ -85,6 +91,16 @@ def chat_inf(system_prompt,prompt,history,memory,client_choice,seed,temp,tokens,
         print("\n######### HIST "+str(in_len))
         print("\n######### TOKENS "+str(tokens))        
 
+def get_screenshot(chat: list,height=5000,width=600,chatblock=[],theme="light",wait=3000,header=True):
+    print(chatblock)
+    tog = 0
+    if chatblock:
+        tog = 3
+    result = ss_client.predict(str(chat),height,width,chatblock,header,theme,wait,api_name="/run_script")
+    out = f'https://omnibus-html-image-current-tab.hf.space/file={result[tog]}'
+    print(out)
+    return out
+
 def clear_fn():
     return None,None,None,None
 rand_val=random.randint(1,1111111111111111)
@@ -123,14 +139,28 @@ with gr.Blocks() as app:
                     top_p=gr.Slider(label="Top-P",step=0.01, minimum=0.01, maximum=1.0, value=0.9)
                     rep_p=gr.Slider(label="Repetition Penalty",step=0.1, minimum=0.1, maximum=2.0, value=1.0)
                     chat_mem=gr.Number(label="Chat Memory", info="Number of previous chats to retain",value=4)
+        with gr.Accordion(label="Screenshot",open=False):
+            with gr.Row():
+                with gr.Column(scale=3):
+                    im_btn=gr.Button("Screenshot")
+                    img=gr.Image(type='filepath')
+                with gr.Column(scale=1):
+                    with gr.Row():
+                        im_height=gr.Number(label="Height",value=5000)
+                        im_width=gr.Number(label="Width",value=500)
+                    wait_time=gr.Number(label="Wait Time",value=3000)
+                    theme=gr.Radio(label="Theme", choices=["light","dark"],value="light")
+                    chatblock=gr.Dropdown(label="Chatblocks",info="Choose specific blocks of chat",choices=[c for c in range(1,40)],multiselect=True)
 
     
     client_choice.change(load_models,client_choice,[chat_b])
     app.load(load_models,client_choice,[chat_b])
     
+    im_go=im_btn.click(get_screenshot,[chat_b,im_height,im_width,chatblock,theme,wait_time],img)
     
     chat_sub=inp.submit(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem,custom_prompt],[chat_b,memory])
     go=btn.click(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem,custom_prompt],[chat_b,memory])
     
+    stop_btn.click(None,None,None,cancels=[go,im_go,chat_sub])
     clear_btn.click(clear_fn,None,[inp,sys_inp,chat_b,memory])
 app.queue(default_concurrency_limit=10).launch()