Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -19,16 +19,35 @@ if API_KEY is None:
|
|
| 19 |
# Hugging Face API settings
|
| 20 |
API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B-Instruct"
|
| 21 |
|
|
|
|
| 22 |
headers = {
|
| 23 |
-
|
|
|
|
| 24 |
}
|
| 25 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
if "messages" not in st.session_state:
|
| 27 |
-
st.session_state.messages = [{"role": "system", "content":
|
| 28 |
-
"""
|
| 29 |
-
You are a nice Chatbot.
|
| 30 |
-
"""
|
| 31 |
-
}]
|
| 32 |
st.session_state.messages.append({'role': 'assistant', "content": 'Ask me anything'})
|
| 33 |
|
| 34 |
def handle_query(query):
|
|
@@ -46,6 +65,22 @@ def handle_query(query):
|
|
| 46 |
else:
|
| 47 |
return f"Error: Unable to fetch response from the model. Status code: {response.status_code}"
|
| 48 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
def streamer(text):
|
| 50 |
for i in text:
|
| 51 |
yield i
|
|
@@ -55,7 +90,7 @@ for message in st.session_state.messages:
|
|
| 55 |
with st.chat_message(message['role'], avatar=icons[message['role']]):
|
| 56 |
st.write(message['content'])
|
| 57 |
|
| 58 |
-
user_prompt = st.chat_input("Ask me anything
|
| 59 |
|
| 60 |
if user_prompt:
|
| 61 |
with st.chat_message("user", avatar=icons["user"]):
|
|
|
|
| 19 |
# Hugging Face API settings
|
| 20 |
API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B-Instruct"
|
| 21 |
|
| 22 |
+
# Define the headers
|
| 23 |
headers = {
|
| 24 |
+
'Content-Type': 'application/json',
|
| 25 |
+
'Authorization': f'Bearer {bearer_token}'
|
| 26 |
}
|
| 27 |
|
| 28 |
+
def format_llama_messages(messages):
|
| 29 |
+
"""Format messages for Llama-3 chat models.
|
| 30 |
+
|
| 31 |
+
The model only supports 'system', 'user', and 'assistant' roles, starting with 'system', then 'user', and
|
| 32 |
+
alternating (u/a/u/a/u...). The last message must be from 'user'.
|
| 33 |
+
"""
|
| 34 |
+
prompt = []
|
| 35 |
+
|
| 36 |
+
if messages[0]["role"] == "system":
|
| 37 |
+
content = "".join(["<<SYS>>\n", messages[0]["content"], "\n<</SYS>>\n\n", messages[1]["content"]])
|
| 38 |
+
messages = [{"role": messages[1]["role"], "content": content}] + messages[2:]
|
| 39 |
+
|
| 40 |
+
for user, answer in zip(messages[::2], messages[1::2]):
|
| 41 |
+
prompt.extend(["<s>", "[INST] ", (user["content"]).strip(), " [/INST] ", (answer["content"]).strip(), "</s>"])
|
| 42 |
+
|
| 43 |
+
prompt.extend(["<s>", "[INST] ", (messages[-1]["content"]).strip(), " [/INST] "])
|
| 44 |
+
|
| 45 |
+
return "".join(prompt)
|
| 46 |
+
|
| 47 |
+
system_prompt = "You are a food critic Chatbot. Reply in the style of a New York Times food critic"
|
| 48 |
+
|
| 49 |
if "messages" not in st.session_state:
|
| 50 |
+
st.session_state.messages = [{"role": "system", "content": system_prompt}]
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
st.session_state.messages.append({'role': 'assistant', "content": 'Ask me anything'})
|
| 52 |
|
| 53 |
def handle_query(query):
|
|
|
|
| 65 |
else:
|
| 66 |
return f"Error: Unable to fetch response from the model. Status code: {response.status_code}"
|
| 67 |
|
| 68 |
+
def handle_query(query):
|
| 69 |
+
st.session_state.messages.append({'role': 'user', "content": query})
|
| 70 |
+
formatted_messages=format_llama_messages(st.session_state.messages)
|
| 71 |
+
json_body = {
|
| 72 |
+
"inputs": formatted_messages,
|
| 73 |
+
"parameters": {"max_new_tokens":256, "top_p":0.9, "temperature":0.7}
|
| 74 |
+
}
|
| 75 |
+
data = json.dumps(json_body)
|
| 76 |
+
response = requests.request("POST", url, headers=headers, data=data)
|
| 77 |
+
try:
|
| 78 |
+
data=json.loads(response.content.decode("utf-8"))
|
| 79 |
+
return data[0]['generated_text'].split('[/INST] ')[1]
|
| 80 |
+
except:
|
| 81 |
+
return response
|
| 82 |
+
|
| 83 |
+
|
| 84 |
def streamer(text):
|
| 85 |
for i in text:
|
| 86 |
yield i
|
|
|
|
| 90 |
with st.chat_message(message['role'], avatar=icons[message['role']]):
|
| 91 |
st.write(message['content'])
|
| 92 |
|
| 93 |
+
user_prompt = st.chat_input("Ask me anything about foods")
|
| 94 |
|
| 95 |
if user_prompt:
|
| 96 |
with st.chat_message("user", avatar=icons["user"]):
|