Update app.py

app.py

@@ -80,14 +80,14 @@ def get_conversational_chain():
     Answer:
     """
     #model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.3, google_api_key=GOOGLE_API_KEY)
-    #repo_id ='google/gemma-1.1-2b-it'
+    repo_id ='google/gemma-1.1-2b-it'
     #repo_id='meta-llama/Meta-Llama-3-70B'
-    #llm = HuggingFaceEndpoint(
-    #repo_id=repo_id, max_length=512, temperature=0.5, token=HUGGING_FACE_API_KEY)
+    llm = HuggingFaceEndpoint(
+    repo_id=repo_id, max_length=512, temperature=0.3, token=HUGGING_FACE_API_KEY)
     #tokenizer = AutoTokenizer.from_pretrained("google/gemma-1.1-2b-it")
     #llm = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it")
 
-    llm = pipeline("text-generation", model="google/gemma-1.1-2b-it")
+    #llm = pipeline("text-generation", model="google/gemma-1.1-2b-it")
 
     pt = ChatPromptTemplate.from_template(template)
     # Retrieve and generate using the relevant snippets of the blog.