Spaces:
Running
Running
File size: 2,675 Bytes
240a78d d291407 f43a4a2 d291407 b727914 d291407 f43a4a2 669f0b6 f43a4a2 669f0b6 d291407 927446b d291407 669f0b6 f43a4a2 d291407 f43a4a2 d291407 f43a4a2 669f0b6 d291407 f43a4a2 669f0b6 f43a4a2 d291407 97f10b6 d291407 |
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 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
import gradio as gr
from huggingface_hub import InferenceClient
from web import search # Import web search tool
client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
def is_uncertain(question, response):
"""Check if the model's response is unreliable."""
# 1. If response length is too short, it's likely a guess.
if len(response.split()) < 4:
return True
# 2. If response repeats the question, it might be unsure.
if response.lower() in question.lower():
return True
# 3. If the response contains generic phrases like "Kulingana na utafiti" (According to research)
uncertain_phrases = [
"Kulingana na utafiti", "Inaaminika kuwa", "Ninadhani",
"It is believed that", "Some people say", "Inasemekana kuwa"
]
if any(phrase.lower() in response.lower() for phrase in uncertain_phrases):
return True
return False
def google_search(query):
"""Fetch search results from Google."""
results = search(query)
if results:
return results[0] # Return the first result
return "Sorry, I couldn't find an answer on Google."
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
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]})
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token = message.choices[0].delta.content
response += token
yield response # Stream partial responses
# If response is unreliable, fetch from Google
if is_uncertain(message, response):
google_response = google_search(message)
yield f"🤖 AI: {response}\n\n🌍 Google: {google_response}"
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
)
if __name__ == "__main__":
demo.launch()
|