Update local changes

app.py

@@ -6,6 +6,7 @@ from seminar_edition_ai import upload_file_ex, predictContemplando, predictProcl
 
 HISTORY_ANSWER = ''
 
+llmModel = None
 def activeSermonGuideZone(KEY):
     #print("Button show " + buttonEvent.label)
     return {text_button: gr.update (interactive = True), question_option: [KEY]}
@@ -22,23 +23,26 @@ def showMessage(questionAnswer, KEY):
 with gr.Blocks() as demo:
 
     gr.Markdown("SermonLab AI Demo.")
+    global llmModel
+
+    llmModelState = gr.State([llmModel])
     with gr.Tab("Preparando mi Sermón"):
         text_input = gr.Textbox(label="Tópico del sermón")
 
-        text_output = gr.Textbox(label="Respuesta", lines=10)
+        text_output = gr.Textbox(label="Respuesta", lines = 10)
 
         text_button = gr.Button("Crear")
 
         text_download = gr.DownloadButton(
             label="Descargar",
-            value=fileAddresToDownload,
+            value = fileAddresToDownload,
             every=10
         )
 
         text_button.click(
             fn = predictFromInit,
-            inputs=text_input,
-            outputs=text_output
+            inputs =[ text_input, llmModelState],
+            outputs = text_output
         )
 
         text_download.click(
@@ -227,6 +231,7 @@ if __name__ == "__main__":
     llmBuilder = GeminiLLM()
 
     embed_model = llmBuilder.getEmbeddingsModel()
-    llm = llmBuilder.getLLM()
+    global llmModel
+    llmModel = llmBuilder.getLLM()
 
     demo.launch(share=True)

seminar_edition_ai.py

@@ -51,11 +51,15 @@ def getCurrentFileName():
 fileAddresToDownload = f"{DIRECTORY_PATH_TO_DOWNLOAD}{os.sep}{getCurrentFileName()}"
 FILE_PATH_NAME = fileAddresToDownload
 
-def updatePromptTemplate(promptTemplate, inputVariablesTemplate):
+def updatePromptTemplate(
+        llmModel,
+        promptTemplate,
+        inputVariablesTemplate
+  ):
     prompt = PromptTemplate(template = promptTemplate,
                         input_variables = inputVariablesTemplate)
     chain = load_qa_chain(
-        llm,
+        llmModel,
         chain_type = "stuff",
         prompt = prompt
     )
@@ -99,14 +103,17 @@ def predictProclamando(queryKey):
 ####
 #
 ####
-def predictFromInit(sermonTopic):
+def predictFromInit( sermonTopic, llmModelList):
   global HISTORY_ANSWER
   keyStr = 'SERMON_TOPIC'
 
   templates = SermonGeminiPromptTemplate()
 
+  llm = llmModelList[0] if len(llmModelList) > 0 else None
+
   if HISTORY_ANSWER == '':
     chain = updatePromptTemplate(
+        llm,
         templates.getSermonPromptTemplates()['BUILD_INIT'],
         [keyStr,'CANT_VERSICULOS','context']
         )
@@ -209,7 +216,6 @@ def predictArgumentQuestionBuild(questionAnswer):
 
   return answer
 
-
 # A utility function for answer generation
 def askQuestion(
         question,