Update app.py

app.py

@@ -112,6 +112,7 @@ Final Response:
     return prompt
 
 
+
 from gradio_client import Client
 def ask_ai(message ):
      
@@ -147,6 +148,8 @@ def t2t(text, namn_model):
     # anwai=ask_ai(txt)
     return  txt
 
+
+
 def t2seq(text, namn_model):
     if namn_model == "Group":
         out = ASGAI.Group.Predict_ALL(text)
@@ -164,6 +167,40 @@ def echo(message, history):
     text=t2seq(message,"Group")
     return text
 
+import uuid
+
+def   s2s(text):
+    userid=str(uuid.uuid4())
+    datase=[]
+    def addsenario(inputs):
+        data, pd = inputs
+        seqtactic = ''
+        seqtec = ''
+        
+        for ob in data[0]:
+            seqtactic += ob[0] + "$@"
+            seqtec += ob[1] + "$@"
+    
+        out, _ = ASGAI.Soft.predictAPI(seqtec)
+        out2, _ = ASGAI.Group.predictAPI(seqtec + " " + out)
+    
+        score = f"{out2}@{out}@{data[1][1]}@{round(data[2], 2)}"
+    
+        tutorial = {
+            "seqtactic": seqtactic,
+            "iduser": userid,
+            "seqtec": seqtec,
+            "score": score
+        }
+        datase.append(tutorial)
+        return tutorial
+    ASGAI.cks.onsequens=addsenario
+
+    text_output=ASGAI.search([text],istrans=True,numstop=20)
+
+
+    return str(datase)
+    
 
 # Use Blocks
 with gr.Blocks() as demo:
@@ -219,6 +256,13 @@ with gr.Blocks() as demo:
                 with gr.Tab("T2Sinaro"):
                     model_choices_seq1 = gr.Dropdown(choices=["Group", "Technique", "Soft"], label="Model",value="Group",)
                     gr.ChatInterface(fn=echo,  title="Echo Bot")
+
+                with gr.Tab("T2Sinaror"):
+                    text_input_seqttt = gr.Textbox(label="Input Text")
+                    submit_btn_seqtt = gr.Button("Submit")
+                    text_out_seqttt = gr.Textbox(label="Input Text")
+                    submit_btn_seqtt.click(fn=s2s, inputs=[text_input_seqttt], outputs=text_out_seqttt)
+