Spaces:
Running on Zero
Running on Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -1,5 +1,6 @@
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import os
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import logging
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import gradio as gr
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from huggingface_hub import InferenceClient
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@@ -13,6 +14,12 @@ SYSTEM_PROMPT = (
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)
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def chat(message, history):
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if not message or not message.strip():
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yield "Please enter a message."
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@@ -24,38 +31,23 @@ def chat(message, history):
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yield "Configuration error: HF_TOKEN is missing from Space Secrets."
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return
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messages = [
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{"role": "system", "content": SYSTEM_PROMPT}
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]
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# Preserve previous conversation turns.
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for item in history or []:
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if not isinstance(item, dict):
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continue
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-
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role = item.get("role")
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content = item.get("content")
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-
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if role in ("user", "assistant") and isinstance(content, str):
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messages.append({
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"role": role,
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"content": content,
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})
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messages.append({
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"role": "user",
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"content": message.strip(),
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})
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answer = ""
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try:
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logging.info("Starting inference request for %s", MODEL_ID)
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client = InferenceClient(
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model=MODEL_ID,
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token=token,
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)
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stream = client.chat.completions.create(
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messages=messages,
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@@ -67,9 +59,7 @@ def chat(message, history):
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for chunk in stream:
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if not chunk.choices:
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continue
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-
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content = chunk.choices[0].delta.content
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-
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if isinstance(content, str) and content:
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answer += content
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yield answer
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@@ -84,6 +74,7 @@ def chat(message, history):
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demo = gr.ChatInterface(
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fn=chat,
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title="🧠 Tony-Flash",
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description="Chat with DeepSeek V4 Flash",
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textbox=gr.Textbox(
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@@ -93,9 +84,4 @@ demo = gr.ChatInterface(
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)
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if __name__ == "__main__":
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demo.queue().launch(
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server_name="0.0.0.0",
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server_port=7860,
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show_error=True,
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ssr_mode=False,
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)
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import os
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import logging
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import spaces
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import gradio as gr
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from huggingface_hub import InferenceClient
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)
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# Required by ZeroGPU: at least one @spaces.GPU function must exist at startup.
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@spaces.GPU
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def _gpu_placeholder():
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return "ok"
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def chat(message, history):
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if not message or not message.strip():
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yield "Please enter a message."
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yield "Configuration error: HF_TOKEN is missing from Space Secrets."
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return
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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for item in history or []:
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if not isinstance(item, dict):
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continue
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role = item.get("role")
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content = item.get("content")
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if role in ("user", "assistant") and isinstance(content, str):
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messages.append({"role": role, "content": content})
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messages.append({"role": "user", "content": message.strip()})
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answer = ""
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try:
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logging.info("Starting inference request for %s", MODEL_ID)
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client = InferenceClient(model=MODEL_ID, token=token)
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stream = client.chat.completions.create(
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messages=messages,
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for chunk in stream:
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if not chunk.choices:
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continue
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content = chunk.choices[0].delta.content
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if isinstance(content, str) and content:
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answer += content
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yield answer
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demo = gr.ChatInterface(
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fn=chat,
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type="messages",
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title="🧠 Tony-Flash",
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description="Chat with DeepSeek V4 Flash",
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textbox=gr.Textbox(
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)
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if __name__ == "__main__":
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demo.queue().launch(show_error=True, ssr_mode=False)
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