Update app.py

app.py

@@ -27,12 +27,10 @@ llm = HuggingFaceEndpoint(
     do_sample=False,
     repetition_penalty=1.03,
 )
-
 llama3 = ChatHuggingFace(llm=llm, temperature = 1)
 llama3_json = ChatHuggingFace(llm=llm, format = 'json', temperature = 0)
 
 google_search = GoogleSearchAPIWrapper()
-
 firecrawl_app = FirecrawlApp(api_key=os.getenv('FIRECRAWL_KEY'))
 
 
@@ -132,7 +130,16 @@ generate_chain = generate_prompt | llama3_json | JsonOutputParser()
 
 # Full Flow Function
 def fact_check_flow(user_question):
-    keyword = []
+    # Step 1 : Initializing
+    llm = HuggingFaceEndpoint(
+        repo_id="meta-llama/Meta-Llama-3.1-8B-Instruct",
+        task="text-generation",
+        max_new_tokens=4000,
+        do_sample=False,
+        repetition_penalty=1.03,
+        )
+    llama3 = ChatHuggingFace(llm=llm, temperature = 1)
+    llama3_json = ChatHuggingFace(llm=llm, format = 'json', temperature = 0)
     
     # Step 2: Transform question into search query keyword
     keyword = query_chain.invoke({"question": user_question})["query"]