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Runtime error
Runtime error
kevinwang676
commited on
Commit
•
5e06908
1
Parent(s):
5e540eb
Update app.py
Browse files
app.py
CHANGED
@@ -99,17 +99,397 @@ def convert(model, src, tgt):
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write("out.wav", 24000, audio)
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out = "out.wav"
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return out
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model = gr.Dropdown(choices=["FreeVC", "FreeVC-s", "FreeVC (24kHz)"], value="FreeVC",type="value", label="Model")
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audio1 = gr.inputs.Audio(label="Source Audio", type='filepath')
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audio2 = gr.inputs.Audio(label="Reference Audio", type='filepath')
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inputs = [model, audio1, audio2]
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outputs = gr.outputs.Audio(label="Output Audio", type='filepath')
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description = "Gradio Demo for FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion. To use it, simply upload your audio, or click the example to load. Read more at the links below. Note: It seems that the WavLM checkpoint in HuggingFace is a little different from the one used to train FreeVC, which may degrade the performance a bit. In addition, speaker similarity can be largely affected if there are too much silence in the reference audio, so please <strong>trim</strong> it before submitting."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2210.15418' target='_blank'>Paper</a> | <a href='https://github.com/OlaWod/FreeVC' target='_blank'>Github Repo</a></p>"
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write("out.wav", 24000, audio)
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out = "out.wav"
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return out
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+
# GLM2
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language_dict = tts_order_voice
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# fix timezone in Linux
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os.environ["TZ"] = "Asia/Shanghai"
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try:
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time.tzset() # type: ignore # pylint: disable=no-member
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except Exception:
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# Windows
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logger.warning("Windows, cant run time.tzset()")
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# model_name = "THUDM/chatglm2-6b"
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model_name = "THUDM/chatglm2-6b-int4"
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RETRY_FLAG = False
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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# model = AutoModel.from_pretrained(model_name, trust_remote_code=True).cuda()
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# 4/8 bit
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# model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).quantize(4).cuda()
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+
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has_cuda = torch.cuda.is_available()
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# has_cuda = False # force cpu
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if has_cuda:
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model_glm = (
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AutoModel.from_pretrained(model_name, trust_remote_code=True).cuda().half()
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) # 3.92G
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else:
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model_glm = AutoModel.from_pretrained(
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model_name, trust_remote_code=True
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).float() # .float() .half().float()
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+
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model_glm = model_glm.eval()
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+
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_ = """Override Chatbot.postprocess"""
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def postprocess(self, y):
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if y is None:
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return []
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for i, (message, response) in enumerate(y):
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y[i] = (
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None if message is None else mdtex2html.convert((message)),
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None if response is None else mdtex2html.convert(response),
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)
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return y
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+
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+
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gr.Chatbot.postprocess = postprocess
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def parse_text(text):
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"""copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/"""
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lines = text.split("\n")
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lines = [line for line in lines if line != ""]
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count = 0
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for i, line in enumerate(lines):
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if "```" in line:
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count += 1
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items = line.split("`")
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if count % 2 == 1:
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lines[i] = f'<pre><code class="language-{items[-1]}">'
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else:
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lines[i] = "<br></code></pre>"
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else:
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if i > 0:
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if count % 2 == 1:
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line = line.replace("`", r"\`")
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line = line.replace("<", "<")
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line = line.replace(">", ">")
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line = line.replace(" ", " ")
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line = line.replace("*", "*")
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line = line.replace("_", "_")
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line = line.replace("-", "-")
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line = line.replace(".", ".")
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line = line.replace("!", "!")
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line = line.replace("(", "(")
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line = line.replace(")", ")")
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line = line.replace("$", "$")
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lines[i] = "<br>" + line
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text = "".join(lines)
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return text
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+
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+
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def predict(
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RETRY_FLAG, input, chatbot, max_length, top_p, temperature, history, past_key_values
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):
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try:
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chatbot.append((parse_text(input), ""))
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except Exception as exc:
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logger.error(exc)
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logger.debug(f"{chatbot=}")
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_ = """
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if chatbot:
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chatbot[-1] = (parse_text(input), str(exc))
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yield chatbot, history, past_key_values
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# """
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yield chatbot, history, past_key_values
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+
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for response, history, past_key_values in model_glm.stream_chat(
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tokenizer,
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input,
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history,
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past_key_values=past_key_values,
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return_past_key_values=True,
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max_length=max_length,
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top_p=top_p,
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temperature=temperature,
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):
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chatbot[-1] = (parse_text(input), parse_text(response))
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# chatbot[-1][-1] = parse_text(response)
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+
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yield chatbot, history, past_key_values, parse_text(response)
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+
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+
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def trans_api(input, max_length=4096, top_p=0.8, temperature=0.2):
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if max_length < 10:
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max_length = 4096
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if top_p < 0.1 or top_p > 1:
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top_p = 0.85
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if temperature <= 0 or temperature > 1:
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temperature = 0.01
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try:
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res, _ = model_glm.chat(
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tokenizer,
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input,
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history=[],
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past_key_values=None,
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max_length=max_length,
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top_p=top_p,
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temperature=temperature,
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)
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# logger.debug(f"{res=} \n{_=}")
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except Exception as exc:
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logger.error(f"{exc=}")
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res = str(exc)
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return res
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+
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+
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def reset_user_input():
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return gr.update(value="")
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+
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+
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def reset_state():
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return [], [], None, ""
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+
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+
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+
# Delete last turn
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def delete_last_turn(chat, history):
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if chat and history:
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chat.pop(-1)
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history.pop(-1)
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return chat, history
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+
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+
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+
# Regenerate response
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+
def retry_last_answer(
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user_input, chatbot, max_length, top_p, temperature, history, past_key_values
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):
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if chatbot and history:
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+
# Removing the previous conversation from chat
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+
chatbot.pop(-1)
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+
# Setting up a flag to capture a retry
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RETRY_FLAG = True
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# Getting last message from user
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user_input = history[-1][0]
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# Removing bot response from the history
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history.pop(-1)
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+
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yield from predict(
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RETRY_FLAG, # type: ignore
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user_input,
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chatbot,
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+
max_length,
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+
top_p,
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temperature,
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history,
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+
past_key_values,
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)
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+
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# print
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+
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def print(text):
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return text
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293 |
+
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# TTS
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+
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async def text_to_speech_edge(text, language_code):
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voice = language_dict[language_code]
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communicate = edge_tts.Communicate(text, voice)
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299 |
+
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
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tmp_path = tmp_file.name
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301 |
+
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302 |
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await communicate.save(tmp_path)
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303 |
+
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return tmp_path
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305 |
+
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+
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with gr.Blocks(title="ChatGLM2-6B-int4", theme=gr.themes.Soft(text_size="sm")) as demo:
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# gr.HTML("""<h1 align="center">ChatGLM2-6B-int4</h1>""")
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309 |
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gr.HTML(
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"""<center><a href="https://huggingface.co/spaces/mikeee/chatglm2-6b-4bit?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>To avoid the queue and for faster inference Duplicate this Space and upgrade to GPU</center>"""
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)
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+
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with gr.Accordion("🎈 Info", open=False):
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314 |
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_ = f"""
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315 |
+
## {model_name}
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316 |
+
Try to refresh the browser and try again when occasionally an error occurs.
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317 |
+
With a GPU, a query takes from a few seconds to a few tens of seconds, dependent on the number of words/characters
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318 |
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the question and responses contain. The quality of the responses varies quite a bit it seems. Even the same
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319 |
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question with the same parameters, asked at different times, can result in quite different responses.
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320 |
+
* Low temperature: responses will be more deterministic and focused; High temperature: responses more creative.
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321 |
+
* Suggested temperatures -- translation: up to 0.3; chatting: > 0.4
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322 |
+
* Top P controls dynamic vocabulary selection based on context.
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+
For a table of example values for different scenarios, refer to [this](https://community.openai.com/t/cheat-sheet-mastering-temperature-and-top-p-in-chatgpt-api-a-few-tips-and-tricks-on-controlling-the-creativity-deterministic-output-of-prompt-responses/172683)
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+
If the instance is not on a GPU (T4), it will be very slow. You can try to run the colab notebook [chatglm2-6b-4bit colab notebook](https://colab.research.google.com/drive/1WkF7kOjVCcBBatDHjaGkuJHnPdMWNtbW?usp=sharing) for a spin.
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+
The T4 GPU is sponsored by a community GPU grant from Huggingface. Thanks a lot!
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+
"""
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327 |
+
gr.Markdown(dedent(_))
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328 |
+
chatbot = gr.Chatbot()
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329 |
+
with gr.Row():
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330 |
+
with gr.Column(scale=4):
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331 |
+
with gr.Column(scale=12):
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332 |
+
user_input = gr.Textbox(
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333 |
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label="请在此处和GLM2聊天 (按回车键即可发送)",
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334 |
+
placeholder="聊点什么吧",
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335 |
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)
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336 |
+
RETRY_FLAG = gr.Checkbox(value=False, visible=False)
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337 |
+
with gr.Column(min_width=32, scale=1):
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338 |
+
with gr.Row():
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339 |
+
submitBtn = gr.Button("开始和GLM2交流吧", variant="primary")
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340 |
+
deleteBtn = gr.Button("删除最新一轮对话", variant="secondary")
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341 |
+
retryBtn = gr.Button("重新生成最新一轮对话", variant="secondary")
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342 |
+
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343 |
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with gr.Accordion("更多设置", open=False):
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344 |
+
with gr.Row():
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345 |
+
emptyBtn = gr.Button("清空所有聊天记录")
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346 |
+
max_length = gr.Slider(
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347 |
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0,
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348 |
+
32768,
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349 |
+
value=8192,
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350 |
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step=1.0,
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351 |
+
label="Maximum length",
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352 |
+
interactive=True,
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353 |
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)
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354 |
+
top_p = gr.Slider(
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355 |
+
0, 1, value=0.85, step=0.01, label="Top P", interactive=True
|
356 |
+
)
|
357 |
+
temperature = gr.Slider(
|
358 |
+
0.01, 1, value=0.95, step=0.01, label="Temperature", interactive=True
|
359 |
+
)
|
360 |
+
|
361 |
+
|
362 |
+
with gr.Row():
|
363 |
+
test1 = gr.Textbox(label="GLM2的最新回答 (可编辑)", lines = 3)
|
364 |
+
with gr.Column():
|
365 |
+
language = gr.Dropdown(choices=list(language_dict.keys()), value="普通话 (中国大陆)-Xiaoxiao-女", label="请选择文本对应的语言及您喜欢的说话人")
|
366 |
+
tts_btn = gr.Button("生成对应的音频吧", variant="primary")
|
367 |
+
output_audio = gr.Audio(type="filepath", label="为您生成的音频")
|
368 |
+
|
369 |
+
tts_btn.click(text_to_speech_edge, inputs=[test1, language], outputs=[output_audio])
|
370 |
+
|
371 |
+
with gr.Row():
|
372 |
+
model_choice = gr.Dropdown(choices=["FreeVC", "FreeVC-s", "FreeVC (24kHz)"], value="FreeVC (24kHz)", label="Model", visible=False)
|
373 |
+
audio1 = output_audio
|
374 |
+
audio2 = gr.Audio(label="请上传您喜欢的声音进行声音克隆", type='filepath')
|
375 |
+
clone_btn = gr.Button("开始AI声音克隆吧")
|
376 |
+
audio_cloned = gr.Audio(label="为您生成的专属声音克隆音频", type='filepath')
|
377 |
+
|
378 |
+
clone_btn.click(convert, inputs=[model_choice, audio1, audio2], outputs=[audio_cloned])
|
379 |
+
|
380 |
+
history = gr.State([])
|
381 |
+
past_key_values = gr.State(None)
|
382 |
+
|
383 |
+
user_input.submit(
|
384 |
+
predict,
|
385 |
+
[
|
386 |
+
RETRY_FLAG,
|
387 |
+
user_input,
|
388 |
+
chatbot,
|
389 |
+
max_length,
|
390 |
+
top_p,
|
391 |
+
temperature,
|
392 |
+
history,
|
393 |
+
past_key_values,
|
394 |
+
],
|
395 |
+
[chatbot, history, past_key_values, test1],
|
396 |
+
show_progress="full",
|
397 |
+
)
|
398 |
+
submitBtn.click(
|
399 |
+
predict,
|
400 |
+
[
|
401 |
+
RETRY_FLAG,
|
402 |
+
user_input,
|
403 |
+
chatbot,
|
404 |
+
max_length,
|
405 |
+
top_p,
|
406 |
+
temperature,
|
407 |
+
history,
|
408 |
+
past_key_values,
|
409 |
+
],
|
410 |
+
[chatbot, history, past_key_values, test1],
|
411 |
+
show_progress="full",
|
412 |
+
api_name="predict",
|
413 |
+
)
|
414 |
+
submitBtn.click(reset_user_input, [], [user_input])
|
415 |
+
|
416 |
+
emptyBtn.click(
|
417 |
+
reset_state, outputs=[chatbot, history, past_key_values, test1], show_progress="full"
|
418 |
+
)
|
419 |
+
|
420 |
+
retryBtn.click(
|
421 |
+
retry_last_answer,
|
422 |
+
inputs=[
|
423 |
+
user_input,
|
424 |
+
chatbot,
|
425 |
+
max_length,
|
426 |
+
top_p,
|
427 |
+
temperature,
|
428 |
+
history,
|
429 |
+
past_key_values,
|
430 |
+
],
|
431 |
+
# outputs = [chatbot, history, last_user_message, user_message]
|
432 |
+
outputs=[chatbot, history, past_key_values, test1],
|
433 |
+
)
|
434 |
+
deleteBtn.click(delete_last_turn, [chatbot, history], [chatbot, history])
|
435 |
+
|
436 |
+
with gr.Accordion("Example inputs", open=False):
|
437 |
+
etext = """In America, where cars are an important part of the national psyche, a decade ago people had suddenly started to drive less, which had not happened since the oil shocks of the 1970s. """
|
438 |
+
examples = gr.Examples(
|
439 |
+
examples=[
|
440 |
+
["Explain the plot of Cinderella in a sentence."],
|
441 |
+
[
|
442 |
+
"How long does it take to become proficient in French, and what are the best methods for retaining information?"
|
443 |
+
],
|
444 |
+
["What are some common mistakes to avoid when writing code?"],
|
445 |
+
["Build a prompt to generate a beautiful portrait of a horse"],
|
446 |
+
["Suggest four metaphors to describe the benefits of AI"],
|
447 |
+
["Write a pop song about leaving home for the sandy beaches."],
|
448 |
+
["Write a summary demonstrating my ability to tame lions"],
|
449 |
+
["鲁迅和周树人什么关系"],
|
450 |
+
["从前有一头牛,这头牛后面有什么?"],
|
451 |
+
["正无穷大加一大于正无穷大吗?"],
|
452 |
+
["正无穷大加正无穷大大于正无穷大吗?"],
|
453 |
+
["-2的平方根等于什么"],
|
454 |
+
["树上有5只鸟,猎人开枪打死了一只。树上还有几只鸟?"],
|
455 |
+
["树上有11只鸟,猎人开枪打死了一只。树上还有几只鸟?提示:需考虑鸟可能受惊吓飞走。"],
|
456 |
+
["鲁迅和周树人什么关系 用英文回答"],
|
457 |
+
["以红楼梦的行文风格写一张委婉的请假条。不少于320字。"],
|
458 |
+
[f"{etext} 翻成中文,列出3个版本"],
|
459 |
+
[f"{etext} \n 翻成中文,保留原意,但使用文学性的语言。不要写解释。列出3个版本"],
|
460 |
+
["js 判断一个数是不是质数"],
|
461 |
+
["js 实现python 的 range(10)"],
|
462 |
+
["js 实现python 的 [*(range(10)]"],
|
463 |
+
["假定 1 + 2 = 4, 试求 7 + 8"],
|
464 |
+
["Erkläre die Handlung von Cinderella in einem Satz."],
|
465 |
+
["Erkläre die Handlung von Cinderella in einem Satz. Auf Deutsch"],
|
466 |
+
],
|
467 |
+
inputs=[user_input],
|
468 |
+
examples_per_page=30,
|
469 |
+
)
|
470 |
+
|
471 |
+
with gr.Accordion("For Chat/Translation API", open=False, visible=False):
|
472 |
+
input_text = gr.Text()
|
473 |
+
tr_btn = gr.Button("Go", variant="primary")
|
474 |
+
out_text = gr.Text()
|
475 |
+
tr_btn.click(
|
476 |
+
trans_api,
|
477 |
+
[input_text, max_length, top_p, temperature],
|
478 |
+
out_text,
|
479 |
+
# show_progress="full",
|
480 |
+
api_name="tr",
|
481 |
+
)
|
482 |
+
_ = """
|
483 |
+
input_text.submit(
|
484 |
+
trans_api,
|
485 |
+
[input_text, max_length, top_p, temperature],
|
486 |
+
out_text,
|
487 |
+
show_progress="full",
|
488 |
+
api_name="tr1",
|
489 |
+
)
|
490 |
+
# """
|
491 |
+
|
492 |
+
# demo.queue().launch(share=False, inbrowser=True)
|
493 |
+
# demo.queue().launch(share=True, inbrowser=True, debug=True)
|
494 |
+
|
495 |
+
demo.queue().launch(show_error=True, debug=True)
|