Update app.py
Browse files
app.py
CHANGED
@@ -25,41 +25,41 @@ llama = Llama(
|
|
25 |
|
26 |
|
27 |
# Function to generate responses
|
28 |
-
def generate_response(message, history, system_prompt, temperature, max_new_tokens, top_k, repetition_penalty, top_p):
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
44 |
-
|
45 |
|
46 |
-
#
|
47 |
-
|
48 |
-
|
49 |
-
|
50 |
|
51 |
-
|
52 |
|
53 |
-
|
54 |
-
|
55 |
-
|
56 |
-
|
57 |
|
58 |
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
|
64 |
|
65 |
# JavaScript function for `on_load`
|
|
|
25 |
|
26 |
|
27 |
# Function to generate responses
|
28 |
+
# def generate_response(message, history, system_prompt, temperature, max_new_tokens, top_k, repetition_penalty, top_p):
|
29 |
+
# # chat_prompt = f"You are an Urdu Chatbot. Write an appropriate response for the given instruction: {message} Response:"
|
30 |
+
# chat_prompt = f"{system_prompt}\n ### Instruction: {message}\n ### Response:"
|
31 |
+
# response = llama(chat_prompt, temperature=temperature, max_tokens=max_new_tokens, top_k=top_k, repeat_penalty=repetition_penalty, top_p=top_p, stop=["Q:", "\n"], echo=False, stream=True)
|
32 |
|
33 |
+
# text = ""
|
34 |
+
# for chunk in response:
|
35 |
+
# content = chunk["choices"][0]["text"]
|
36 |
+
# if content:
|
37 |
+
# text += content
|
38 |
+
# yield text
|
39 |
|
40 |
+
def generate_response(message, history, system_prompt, temperature, max_new_tokens, top_k, repetition_penalty, top_p):
|
41 |
+
"""Generates a streaming response from the Llama model."""
|
42 |
+
messages = [
|
43 |
+
{"role": "system", "content": "You are an Urdu Chatbot. Write an appropriate response for the given instruction."},
|
44 |
+
]
|
45 |
|
46 |
+
# Add history and the current message
|
47 |
+
for user, bot in history:
|
48 |
+
messages.append({"role": "user", "content": user})
|
49 |
+
messages.append({"role": "assistant", "content": bot})
|
50 |
|
51 |
+
messages.append({"role": "user", "content": message})
|
52 |
|
53 |
+
response = llama.create_chat_completion(
|
54 |
+
messages=messages,
|
55 |
+
stream=True,
|
56 |
+
)
|
57 |
|
58 |
+
partial_message = ""
|
59 |
+
for part in response:
|
60 |
+
content = part["choices"][0]["delta"].get("content", "")
|
61 |
+
partial_message += content
|
62 |
+
yield partial_message
|
63 |
|
64 |
|
65 |
# JavaScript function for `on_load`
|