Update app.py

app.py

@@ -44,7 +44,7 @@ terminators = [
 from huggingface_hub import InferenceClient
 model_id = "meta-llama/Meta-Llama-3-8B-Instruct"
 client = InferenceClient(model=model_id, token="HF_TOKEN")
-
+print("Client object created!")
 embeddings_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")
 
 ASR_MODEL_NAME = "openai/whisper-large-v3"
@@ -79,16 +79,20 @@ def respond(
     top_p,
     ):
     
-    messages = [{"role": "system", "content": system_message}]
+    # messages = [{"role": "system", "content": system_message}]
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    # for val in history:
+    #     if val[0]:
+    #         messages.append({"role": "user", "content": val[0]})
+    #     if val[1]:
+    #         messages.append({"role": "assistant", "content": val[1]})
 
-    messages.append({"role": "user", "content": message})
+    # messages.append({"role": "user", "content": message})
 
+    messages =[
+	{ role: "user", content: "What is Python Programming?" },
+    ]
+    
     response = ""
         
     for message in client.chat_completion(