Update app.py

app.py

@@ -133,7 +133,7 @@ model_id_7 = "oliverguhr/german-sentiment-bert"
 from transformers import pipeline
 
 # 
-##
+## Possible pipeline
 #"['audio-classification', 'automatic-speech-recognition', 'conversational', 'depth-estimation', 'document-question-answering', 
 #'feature-extraction', 'fill-mask', 'image-classification', 'image-segmentation', 'image-to-text', 'mask-generation', 'ner', 
 #'object-detection', 'question-answering', 'sentiment-analysis', 'summarization', 'table-question-answering', 'text-classification', 
@@ -142,11 +142,19 @@ from transformers import pipeline
 #'translation_XX_to_YY']"
 ##
 
-pipe = pipeline("sentiment-analysis", model=model_id_7)
+sentiment_pipe = pipeline("sentiment-analysis", model=model_id_7)
 #pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
 
-def predict(text):
-  sentiment_result = pipe(text)
+def pipeline_predict_sentiment(text):
+  sentiment_result = sentiment_pipe(text)
+  print(sentiment_result)
+  return sentiment_result
+
+
+chat_pipe = pipeline("conversational")
+
+def pipeline_predict_chat(text):
+  sentiment_result = chat_pipe(text)
   print(sentiment_result)
   return sentiment_result
 
@@ -182,10 +190,6 @@ def predict(text):
 chat_model_facebook_blenderbot_400M_distill = "facebook/blenderbot-400M-distill"
 chat_model_HenryJJ_vincua_13b = "HenryJJ/vincua-13b"
 
-
-
-
-
 text = "Why did the chicken cross the road?"
 
 #output_question_1 = llm_hf(text)
@@ -259,9 +263,18 @@ def topic_sale_inform (text):
   print (res)
   return res
 
-app_topic = gr.Interface(fn=topic_sale_inform , inputs="textbox", outputs="textbox", title="Conversation Bots")
+
+
+####
+    
+def callChains(current_message):
+    sentiment_analysis_result = pipeline_predict_sentiment(message)
+    topic_sale_inform = topic_sale_inform(message)
+    
+
+chat_bot = gr.Interface(fn=callChains , inputs="textbox", outputs=["textbox","textbox","textbox"], title="Conversation Bot with extra")
 # create a public link, set `share=True` in `launch()
-app_topic.launch()
+chat_bot.launch()
 ####################