Update app.py

app.py

@@ -102,7 +102,8 @@ repo_id = "HuggingFaceH4/zephyr-7b-alpha"   #das Modell ist echt gut!!! Vom MIT
 #repo_id = "google/flan-t5-xxl"
 
 #HuggingFace Model name--------------------------------
-MODEL_NAME_HF  = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+#MODEL_NAME_HF  = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+MODEL_NAME_HF  = "google/gemma-7b"
 MODEL_NAME_OAI_ZEICHNEN = "dall-e-3"
 #Alternativ zeichnen: Stabe Diffusion from HF:
 API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1"
@@ -442,8 +443,8 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
             #oder an Hugging Face --------------------------
             print("HF Anfrage.......................")
             model_kwargs={"temperature": 0.5, "max_length": 512, "num_return_sequences": 1, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty}
-            llm = HuggingFaceHub(repo_id=repo_id, model_kwargs=model_kwargs) 
-            #llm = HuggingFaceChain(model=MODEL_NAME_HF, model_kwargs={"temperature": 0.5, "max_length": 128}) 
+            #llm = HuggingFaceHub(repo_id=repo_id, model_kwargs=model_kwargs) 
+            llm = HuggingFaceChain(model=MODEL_NAME_HF, model_kwargs={"temperature": 0.5, "max_length": 128}) 
             #llm = HuggingFaceHub(url_??? = "https://wdgsjd6zf201mufn.us-east-1.aws.endpoints.huggingface.cloud", model_kwargs={"temperature": 0.5, "max_length": 64}) 
             #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")