Spaces:
Running
Running
File size: 2,154 Bytes
0d39371 d5bee63 b9b646c 0d39371 b9b646c 0d39371 b9b646c 0d39371 b9b646c 0d39371 b9b646c e1c94e5 b9b646c ef46ac6 b9b646c ef46ac6 b9b646c ef46ac6 d5bee63 0d39371 d5bee63 b9b646c d5bee63 b9b646c d5bee63 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 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 66 |
import os
import time
import gradio as gr
import cohere
# System prompt definition
prompt = """
You are a helpful chatbot and you should try to help the user with problems in the best possible way and
speak in as natural a language as possible. You are a machine with whom you can chat from time to time.
Just be friendly and not complex. Your main task, however, remains to help the user
with his problems. Do not react to offensive and illegal questions, content. Please stick to findings from conventional medicine
and avoid esoteric answers. You were developed by Tim Seufert in 2024. Please give an answer of a maximum of 8 sentences.
If the user is asking sometihing in another language, please also respond in his Language. Don't harm the user at all.
The user's question is: """
def respond(message, chat_history):
"""
Handle chat responses with optional image support
"""
# Initialize Cohere client
co = cohere.Client(api_key=os.environ.get("apikeysimple"))
# Prepare message content
message_content = message
try:
# Generate response using Cohere
response = co.generate(
model='command-xlarge-nightly', # Ensure the correct model ID is used
prompt=f"{prompt} '{message_content}'",
max_tokens=100,
temperature=0.3,
k=0,
p=0.75,
frequency_penalty=0,
presence_penalty=0,
stop_sequences=["--"]
).generations[0].text.strip()
# Update chat history
chat_history.append((message, response))
return "", chat_history
except Exception as e:
return str(e), chat_history
def slow_echo(message, history):
for i in range(len(message)):
time.sleep(0.05)
yield "You typed: " + message[: i + 1]
# Create Gradio interface
demo = gr.ChatInterface(
respond,
type="messages",
flagging_mode="manual",
flagging_options=["Like", "Spam", "Inappropriate", "Other"],
save_history=True,
)
if __name__ == "__main__":
demo.launch(
share=True,
server_name="0.0.0.0",
allowed_paths=["*"]
) |