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Update app.py
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app.py
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# app.py
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import os
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import shutil
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import time
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@@ -23,7 +23,7 @@ TOP_P = 0.95
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N_THREADS = min(4, max(1, (os.cpu_count() or 1) // 2))
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# Debug controls
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DEBUG_CHUNKS = True # prints every raw stream chunk to logs
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DEBUG_SINGLESHOT_AT_START = True # run a non-stream single-shot test at startup and log result
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# -----------------------------------
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@@ -98,13 +98,12 @@ time.sleep(0.2)
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# ----------------- Llama init -----------------
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try:
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print("Initializing Llama with model_path:", model_path)
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# *** IMPORTANT: set chat_format so the bindings format messages correctly ***
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llm = Llama(
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model_path=model_path,
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n_ctx=N_CTX,
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n_threads=N_THREADS,
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n_gpu_layers=0,
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chat_format="chatml", #
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)
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print("Llama initialized.")
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except Exception as e:
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@@ -163,6 +162,7 @@ def parse_final_response(resp):
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def chat_fn(user_message, history):
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messages = build_messages(history or [], user_message)
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try:
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stream = llm.create_chat_completion(
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messages=messages,
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@@ -181,61 +181,84 @@ def chat_fn(user_message, history):
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yield f"[error] create_chat_completion failed: {e} | fallback error: {e2}"
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return
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#
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if not hasattr(stream, "__iter__"):
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yield parse_final_response(stream)
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return
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partial = ""
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yielded_any = False
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buffer_for_unicode = "" # helper to accumulate partial bytes/characters
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try:
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for chunk in stream:
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if DEBUG_CHUNKS:
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print("STREAM CHUNK:", repr(chunk))
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delta = c0.get("delta", {})
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if isinstance(delta, dict) and "content" in delta:
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# accumulate and yield only when new non-empty content appears
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new = delta["content"]
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if new:
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partial += new
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yielded_any = True
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yield partial
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continue
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yielded_any = True
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yield partial
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continue
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elif isinstance(msg, str) and msg:
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partial += msg
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yielded_any = True
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yield partial
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continue
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except StopIteration:
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pass
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@@ -243,12 +266,10 @@ def chat_fn(user_message, history):
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yield f"[error] stream iteration error: {e}"
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return
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# If streaming produced nothing,
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if not yielded_any:
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try:
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final = llm.create_chat_completion(
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messages=messages, max_tokens=MAX_TOKENS, temperature=TEMPERATURE, top_p=TOP_P, stream=False
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)
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final_text = parse_final_response(final)
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yield final_text if final_text is not None else ""
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return
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@@ -265,4 +286,3 @@ demo = gr.ChatInterface(
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if __name__ == "__main__":
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demo.launch()
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# app.py — robust downloader + chat_format + streaming parser that handles role-only and plain-string chunks
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import os
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import shutil
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import time
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N_THREADS = min(4, max(1, (os.cpu_count() or 1) // 2))
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# Debug controls
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DEBUG_CHUNKS = True # prints every raw stream chunk to logs (turn off if noisy)
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DEBUG_SINGLESHOT_AT_START = True # run a non-stream single-shot test at startup and log result
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# -----------------------------------
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# ----------------- Llama init -----------------
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try:
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print("Initializing Llama with model_path:", model_path)
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llm = Llama(
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model_path=model_path,
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n_ctx=N_CTX,
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n_threads=N_THREADS,
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n_gpu_layers=0,
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chat_format="chatml", # important so the binding formats messages correctly
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)
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print("Llama initialized.")
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except Exception as e:
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def chat_fn(user_message, history):
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messages = build_messages(history or [], user_message)
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# Try streaming
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try:
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stream = llm.create_chat_completion(
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messages=messages,
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yield f"[error] create_chat_completion failed: {e} | fallback error: {e2}"
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return
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# Non-iterable stream -> final
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if not hasattr(stream, "__iter__"):
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yield parse_final_response(stream)
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return
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partial = ""
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yielded_any = False
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try:
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for chunk in stream:
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if DEBUG_CHUNKS:
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print("STREAM CHUNK:", repr(chunk))
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# Case A: chunk is a dict with "choices" (normal)
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if isinstance(chunk, dict):
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choices = chunk.get("choices", []) or []
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if len(choices) > 0:
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c0 = choices[0]
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# 1) delta with content
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delta = c0.get("delta", {})
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if isinstance(delta, dict) and "content" in delta and delta["content"]:
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partial += delta["content"]
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yielded_any = True
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yield partial
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continue
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# 2) delta with role only (e.g. {"role":"assistant"}) -> ignore for content
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if isinstance(delta, dict) and "role" in delta and not delta.get("content"):
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# role announcement, not content
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continue
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# 3) sometimes a 'message' object appears with content
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msg = c0.get("message") or c0.get("text")
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if isinstance(msg, dict):
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content = msg.get("content") or msg.get("content_text") or ""
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if content:
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partial = content
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yielded_any = True
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yield partial
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continue
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elif isinstance(msg, str) and msg:
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partial += msg
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yielded_any = True
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yield partial
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continue
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# 4) finish reason with empty delta -> if we have accumulated text, yield it; else fallback
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finish_reason = c0.get("finish_reason")
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if finish_reason:
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if partial:
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# we already have content; ensure UI gets it
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if not yielded_any:
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yield partial
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return
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else:
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# no content accumulated — do a non-stream final fetch
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try:
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final = llm.create_chat_completion(messages=messages, max_tokens=MAX_TOKENS, stream=False)
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final_text = parse_final_response(final)
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yield final_text
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return
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except Exception as e:
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yield f"[error] fallback non-stream at finish failed: {e}"
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return
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# Case B: chunk is not a dict (plain string or other)
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else:
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try:
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chunk_str = str(chunk)
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if chunk_str and chunk_str.strip():
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partial += chunk_str
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yielded_any = True
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yield partial
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continue
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except Exception:
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# ignore weird chunk -> continue
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continue
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except StopIteration:
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pass
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yield f"[error] stream iteration error: {e}"
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return
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# If streaming produced nothing, final non-stream fallback
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if not yielded_any:
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try:
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final = llm.create_chat_completion(messages=messages, max_tokens=MAX_TOKENS, temperature=TEMPERATURE, top_p=TOP_P, stream=False)
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final_text = parse_final_response(final)
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yield final_text if final_text is not None else ""
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return
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if __name__ == "__main__":
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demo.launch()
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