Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,9 +1,12 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
from huggingface_hub import InferenceClient
|
| 3 |
|
| 4 |
-
|
|
|
|
|
|
|
| 5 |
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
|
| 6 |
|
|
|
|
| 7 |
def respond(
|
| 8 |
message,
|
| 9 |
history: list[tuple[str, str]],
|
|
@@ -12,21 +15,18 @@ def respond(
|
|
| 12 |
temperature,
|
| 13 |
top_p,
|
| 14 |
):
|
| 15 |
-
|
| 16 |
messages = [{"role": "system", "content": system_message}]
|
| 17 |
-
|
| 18 |
|
| 19 |
-
for
|
| 20 |
-
if
|
| 21 |
-
messages.append({"role": "user", "content":
|
| 22 |
-
if
|
| 23 |
-
messages.append({"role": "assistant", "content":
|
| 24 |
|
| 25 |
-
|
| 26 |
messages.append({"role": "user", "content": message})
|
| 27 |
|
| 28 |
-
|
| 29 |
response = ""
|
|
|
|
| 30 |
for message in client.chat_completion(
|
| 31 |
messages,
|
| 32 |
max_tokens=max_tokens,
|
|
@@ -35,35 +35,30 @@ def respond(
|
|
| 35 |
top_p=top_p,
|
| 36 |
):
|
| 37 |
token = message.choices[0].delta.content
|
|
|
|
| 38 |
response += token
|
| 39 |
yield response
|
| 40 |
|
| 41 |
|
|
|
|
|
|
|
|
|
|
| 42 |
demo = gr.ChatInterface(
|
| 43 |
-
|
| 44 |
additional_inputs=[
|
| 45 |
-
gr.Textbox(
|
| 46 |
-
value=(
|
| 47 |
-
"Your name is Jesse. You are a highly professional, results-driven AI assistant. "
|
| 48 |
-
"You are a CompTIA Tech+ certified technician with a bachelor's degree in Information Technology. "
|
| 49 |
-
"You specialize in networking, IT support, cybersecurity, and troubleshooting. "
|
| 50 |
-
"Do not use humor or casual language. Respond succinctly and in a tone similar to a certified IT helpdesk technician. "
|
| 51 |
-
"Focus on providing accurate, concise, and actionable technical assistance. Always refer to yourself as Jesse."
|
| 52 |
-
),
|
| 53 |
-
label="System message"
|
| 54 |
-
),
|
| 55 |
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
|
| 56 |
-
gr.Slider(minimum=0.1, maximum=4.0, value=0.
|
| 57 |
-
gr.Slider(
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 58 |
],
|
| 59 |
-
title="Jesse - CompTIA Tech+ Certified Technician",
|
| 60 |
-
description="Speak with Jesse, a CompTIA Tech+ certified technician with a bachelor's degree in IT. Ask anything about networks, IT support, security, and diagnostics.",
|
| 61 |
-
theme="default"
|
| 62 |
)
|
| 63 |
|
| 64 |
|
| 65 |
if __name__ == "__main__":
|
| 66 |
-
demo.launch()
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
from huggingface_hub import InferenceClient
|
| 3 |
|
| 4 |
+
"""
|
| 5 |
+
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
|
| 6 |
+
"""
|
| 7 |
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
|
| 8 |
|
| 9 |
+
|
| 10 |
def respond(
|
| 11 |
message,
|
| 12 |
history: list[tuple[str, str]],
|
|
|
|
| 15 |
temperature,
|
| 16 |
top_p,
|
| 17 |
):
|
|
|
|
| 18 |
messages = [{"role": "system", "content": system_message}]
|
|
|
|
| 19 |
|
| 20 |
+
for val in history:
|
| 21 |
+
if val[0]:
|
| 22 |
+
messages.append({"role": "user", "content": val[0]})
|
| 23 |
+
if val[1]:
|
| 24 |
+
messages.append({"role": "assistant", "content": val[1]})
|
| 25 |
|
|
|
|
| 26 |
messages.append({"role": "user", "content": message})
|
| 27 |
|
|
|
|
| 28 |
response = ""
|
| 29 |
+
|
| 30 |
for message in client.chat_completion(
|
| 31 |
messages,
|
| 32 |
max_tokens=max_tokens,
|
|
|
|
| 35 |
top_p=top_p,
|
| 36 |
):
|
| 37 |
token = message.choices[0].delta.content
|
| 38 |
+
|
| 39 |
response += token
|
| 40 |
yield response
|
| 41 |
|
| 42 |
|
| 43 |
+
"""
|
| 44 |
+
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
|
| 45 |
+
"""
|
| 46 |
demo = gr.ChatInterface(
|
| 47 |
+
respond,
|
| 48 |
additional_inputs=[
|
| 49 |
+
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
|
| 51 |
+
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
|
| 52 |
+
gr.Slider(
|
| 53 |
+
minimum=0.1,
|
| 54 |
+
maximum=1.0,
|
| 55 |
+
value=0.95,
|
| 56 |
+
step=0.05,
|
| 57 |
+
label="Top-p (nucleus sampling)",
|
| 58 |
+
),
|
| 59 |
],
|
|
|
|
|
|
|
|
|
|
| 60 |
)
|
| 61 |
|
| 62 |
|
| 63 |
if __name__ == "__main__":
|
| 64 |
+
demo.launch()
|
|
|
|
|
|
|
|
|