Update app.py

app.py

@@ -59,21 +59,21 @@ model_id_6 = "sbcBI/sentiment_analysis_model"
 model_id_7 = "oliverguhr/german-sentiment-bert"
 
 # https://colab.research.google.com/drive/1hrS6_g14EcOD4ezwSGlGX2zxJegX5uNX#scrollTo=NUwUR9U7qkld
-llm_hf_sentiment = HuggingFaceHub(
-    repo_id= model_id_7,
-    model_kwargs={"temperature":0.9 }
-)
+#llm_hf_sentiment = HuggingFaceHub(
+#    repo_id= model_id_7,
+#    model_kwargs={"temperature":0.9 }
+#)
  
-sentiment_prompt = PromptTemplate(
-    input_variables=["text_input"],
-    template="Extract the key facts out of this text. Don't include opinions. Give each fact a number and keep them short sentences. :\n\n {text_input}"
-)
+#sentiment_prompt = PromptTemplate(
+#    input_variables=["text_input"],
+#    template="Extract the key facts out of this text. Don't include opinions. Give each fact a number and keep them short sentences. :\n\n {text_input}"
+#)
 
-def sentiment (  message):
-  sentiment_chain = LLMChain(llm=llm_hf_sentiment, prompt=sentiment_prompt)
-  facts = sentiment_chain.run(message)
-  print(facts)
-  return facts
+#def sentiment (  message):
+#  sentiment_chain = LLMChain(llm=llm_hf_sentiment, prompt=sentiment_prompt)
+#  facts = sentiment_chain.run(message)
+#  print(facts)
+#  return facts
 
 
 
@@ -104,8 +104,8 @@ text = "Why did the chicken cross the road?"
 # https://colab.research.google.com/drive/1hrS6_g14EcOD4ezwSGlGX2zxJegX5uNX#scrollTo=NUwUR9U7qkld
 llm_factextract = HuggingFaceHub(
     
-#    repo_id="google/flan-ul2", 
-    repo_id="google/flan-t5-small", 
+    repo_id="google/flan-ul2", 
+#    repo_id="google/flan-t5-small", 
     model_kwargs={"temperature":0.1,
                   "max_new_tokens":256})