Update app.py
Browse files
app.py
CHANGED
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@@ -1,20 +1,17 @@
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from flask import Flask, request, jsonify
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import subprocess
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MAX_TOKENS = "
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THREADS = "
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app = Flask(__name__)
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def query_model(system: str, user: str) -> str:
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"""
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Run the local GGUF model using llama.cpp binary.
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Combines system + user prompt if system is provided.
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"""
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prompt = f"System: {system}\nUser: {user}" if system else user
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try:
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cmd = [
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BINARY_PATH,
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@@ -23,20 +20,31 @@ def query_model(system: str, user: str) -> str:
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"--prompt", prompt,
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"--n_predict", MAX_TOKENS
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]
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return result.stdout.strip() or "No output from model."
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except subprocess.CalledProcessError as e:
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return f"Error running model:\n{e.stderr or str(e)}"
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except Exception as e:
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return f"Unexpected error:\n{str(e)}"
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@app.route("/api/query", methods=["GET", "POST"])
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def api_query():
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if request.method == "POST":
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data = request.json or {}
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user_prompt = data.get("prompt", "")
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system_prompt = data.get("system", "")
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else:
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user_prompt = request.args.get("prompt", "")
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system_prompt = request.args.get("system", "")
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@@ -46,5 +54,10 @@ def api_query():
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output = query_model(system_prompt, user_prompt)
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return jsonify({"output": output})
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=7860)
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from flask import Flask, request, jsonify
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import subprocess
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MODEL_PATH = "/app/model/qwen2.5-coder-1.5b-instruct-q4_k_m.gguf"
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BINARY_PATH = "/llama.cpp/build/bin/llama-cli"
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MAX_TOKENS = "128" # ↓ reduce for speed (important)
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THREADS = "2" # ↓ safer for HF CPU
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app = Flask(__name__)
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def query_model(system: str, user: str) -> str:
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prompt = f"System: {system}\nUser: {user}" if system else user
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try:
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cmd = [
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BINARY_PATH,
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"--prompt", prompt,
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"--n_predict", MAX_TOKENS
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]
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result = subprocess.run(
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cmd,
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capture_output=True,
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text=True,
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timeout=60 # 🔥 prevents hanging forever
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)
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return result.stdout.strip() or "No output from model."
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except subprocess.TimeoutExpired:
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return "Error: Model took too long (timeout)."
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except subprocess.CalledProcessError as e:
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return f"Error running model:\n{e.stderr or str(e)}"
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except Exception as e:
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return f"Unexpected error:\n{str(e)}"
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@app.route("/api/query", methods=["GET", "POST"])
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def api_query():
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if request.method == "POST":
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data = request.json or {}
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user_prompt = data.get("prompt", "")
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system_prompt = data.get("system", "")
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else:
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user_prompt = request.args.get("prompt", "")
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system_prompt = request.args.get("system", "")
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output = query_model(system_prompt, user_prompt)
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return jsonify({"output": output})
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@app.route("/")
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def home():
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return "API is running"
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=7860)
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