Update app.py

app.py

@@ -136,7 +136,7 @@ def add_text(chatbot, history, prompt, file):
             if (ext == "png" or ext == "PNG" or ext == "jpg" or ext == "jpeg" or ext == "JPG" or ext == "JPEG"):
                 chatbot = chatbot +[((file.name,), None), (prompt, None)]
             else:
-                chatbot = chatbot +[(get_filename(file) +"\n" + prompt, None)]
+                chatbot = chatbot +[("Hochgeladenes Dokument: "+ get_filename(file) +"\n" + prompt, None)]
 
     return chatbot, history, prompt, file, gr.Image(visible = False), "" #gr.Image( label=None, size=(30,30), visible=False, scale=1) #gr.Textbox(value="", interactive=False)
 
@@ -368,9 +368,9 @@ def generate_text_zu_doc(file, prompt, k, rag_option, chatbot, history, db):
         #für Chat LLM:
         #prompt_neu = generate_prompt_with_history_openai(neu_text_mit_chunks, history)
         #als reiner prompt:
-        prompt_neu = generate_prompt_with_history(neu_text_mit_chunks, history) #chatbot)
+        prompt_neu = generate_prompt_with_history(neu_text_mit_chunks, history) 
         
-    result = "test........" #create_assistant_file(prompt_neu, file)
+    result = create_assistant_file(prompt_neu, file)
     return result    
     
 
@@ -407,9 +407,9 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
             llm = ChatOpenAI(model_name = MODEL_NAME,  openai_api_key = openai_api_key, temperature=temperature)#, top_p = top_p) 
             #Prompt an history anhängen und einen Text daraus machen
             if (rag_option == "An"):
-                history_text_und_prompt = generate_prompt_with_history(prompt, history) #chatbot)
+                history_text_und_prompt = generate_prompt_with_history(prompt, history) 
             else:
-                history_text_und_prompt = generate_prompt_with_history_openai(prompt, history) #chatbot)
+                history_text_und_prompt = generate_prompt_with_history_openai(prompt, history) 
         else:
             #oder an Hugging Face --------------------------
             print("HF Anfrage.......................")
@@ -419,7 +419,7 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
             #llm = HuggingFaceTextGenInference( inference_server_url="http://localhost:8010/", max_new_tokens=max_new_tokens,top_k=10,top_p=top_p,typical_p=0.95,temperature=temperature,repetition_penalty=repetition_penalty,)
             print("HF")
             #Prompt an history anhängen und einen Text daraus machen
-            history_text_und_prompt = generate_prompt_with_history(prompt, history) #chatbot)
+            history_text_und_prompt = generate_prompt_with_history(prompt, history) 
     
         #zusätzliche Dokumenten Splits aus DB zum Prompt hinzufügen (aus VektorDB - Chroma oder Mongo DB)
         if (rag_option == "An"):