Duplicate from jozzy/gpt_api

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+title: Gpt Api
+emoji: 👀
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 3.20.1
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: jozzy/gpt_api
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+import gradio as gr
+import openai
+
+from langdetect import detect 
+from gtts import gTTS
+from pdfminer.high_level import extract_text
+
+openai.api_key = os.environ['OPENAI_API_KEY']
+
+user_db = {os.environ['username1']: os.environ['password1'], os.environ['username2']: os.environ['password2']}
+
+messages = [{"role": "system", "content": 'You are a helpful assistant.'}]
+
+
+
+def roleChoice(role):
+    global messages
+    messages = [{"role": "system", "content": role}]
+    return "role:" + role
+
+
+def audioGPT(audio):
+    global messages 
+
+    audio_file = open(audio, "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file)
+
+    messages.append({"role": "user", "content": transcript["text"]})
+
+    response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
+
+    system_message = response["choices"][0]["message"]
+    messages.append(system_message)
+
+    chats = ""
+    for msg in messages:
+        if msg['role'] != 'system':
+            chats += msg['role'] + ": " + msg['content'] + "\n\n"
+
+    return chats
+
+
+def textGPT(text):
+    global messages
+
+    messages.append({"role": "user", "content": text})
+
+    response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
+
+    system_message = response["choices"][0]["message"]
+    messages.append(system_message)
+
+    chats = ""
+    for msg in messages:
+        if msg['role'] != 'system':
+            chats += msg['role'] + ": " + msg['content'] + "\n\n"
+
+    return chats
+
+
+def siriGPT(audio):
+    global messages 
+
+    audio_file = open(audio, "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file)
+
+    messages.append({"role": "user", "content": transcript["text"]})
+
+    response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
+
+    system_message = response["choices"][0]["message"]
+    messages.append(system_message)
+
+    lang = detect(system_message['content'])
+
+    narrate_ans = gTTS(text=system_message['content'], lang=lang, slow=False) 
+    narrate_ans.save("narrate.wav") 
+
+    return "narrate.wav"
+    
+
+def fileGPT(prompt, file_obj):
+    global messages 
+
+    file_text = extract_text(file_obj.name)
+    text = prompt + "\n\n" + file_text
+    
+    messages.append({"role": "user", "content": text})
+    
+    response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
+
+    system_message = response["choices"][0]["message"]
+    messages.append(system_message)
+
+    chats = ""
+    for msg in messages:
+        if msg['role'] != 'system':
+            chats += msg['role'] + ": " + msg['content'] + "\n\n"
+
+    return chats
+
+
+
+def clear():
+    global messages
+    messages = [{"role": "system", "content": 'You are a helpful technology assistant.'}]
+    return
+    
+def show():
+    global messages
+    chats = ""
+    for msg in messages:
+        if msg['role'] != 'system':
+            chats += msg['role'] + ": " + msg['content'] + "\n\n"
+
+    return chats
+
+
+with gr.Blocks() as chatHistory:
+    gr.Markdown("Click the Clear button below to remove all the chat history.")
+    clear_btn = gr.Button("Clear")
+    clear_btn.click(fn=clear, inputs=None, outputs=None, queue=False)
+
+    gr.Markdown("Click the Display button below to show all the chat history.")
+    show_out = gr.Textbox()
+    show_btn = gr.Button("Display")
+    show_btn.click(fn=show, inputs=None, outputs=show_out, queue=False)
+
+
+
+role = gr.Interface(fn=roleChoice, inputs="text", outputs="text", description = "Choose your GPT roles, e.g. You are a helpful technology assistant. 你是一位 IT 架构师。 你是一位开发者关系顾问。你是一位机器学习工程师。你是一位高级 C++ 开发人员 ")
+text = gr.Interface(fn=textGPT, inputs="text", outputs="text")
+audio = gr.Interface(fn=audioGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
+siri = gr.Interface(fn=siriGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs = "audio")
+file = gr.Interface(fn=fileGPT, inputs=["text", "file"], outputs="text", description = "Enter prompt sentences and your PDF. e.g. lets think step by step, summarize this following text:  或者 让我们一步一步地思考，总结以下的内容:")
+demo = gr.TabbedInterface([role, text, audio, siri, file, chatHistory], [ "roleChoice", "chatGPT", "audioGPT", "siriGPT", "fileGPT", "ChatHistory"])
+
+if __name__ == "__main__":
+    demo.launch(enable_queue=False, auth=lambda u, p: user_db.get(u) == p,
+        auth_message="Welcome to Yichuan GPT!")
+    #demo.launch()

requirements.txt

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+https://gradio-builds.s3.amazonaws.com/http-auth/attempt-1/gradio-3.18.1b2-py3-none-any.whl
+openai
+ffmpeg
+langdetect
+gtts
+pdfminer
+pdfminer.six