Update app.py

app.py

@@ -1,10 +1,8 @@
 import gradio as gr
-import os
 import openai
 import requests
-import json
+import csv
 
-openai.api_key = os.environ.get("OPENAI_API_KEY")
 
 prompt_templates = {"Default ChatGPT": ""}
 
@@ -13,28 +11,37 @@ def get_empty_state():
 
 def download_prompt_templates():
     url = "https://raw.githubusercontent.com/f/awesome-chatgpt-prompts/main/prompts.csv"
-    response = requests.get(url)
-
-    for line in response.text.splitlines()[1:]:
-        act, prompt = line.split('","')
-        prompt_templates[act.replace('"', '')] = prompt.replace('"', '')
+    try:
+        response = requests.get(url)
+        reader = csv.reader(response.text.splitlines())
+        next(reader)  # skip the header row
+        for row in reader:
+            if len(row) >= 2:
+                act = row[0].strip('"')
+                prompt = row[1].strip('"')
+                prompt_templates[act] = prompt
+
+    except requests.exceptions.RequestException as e:
+        print(f"An error occurred while downloading prompt templates: {e}")
+        return
 
     choices = list(prompt_templates.keys())
+    choices = choices[:1] + sorted(choices[1:])
     return gr.update(value=choices[0], choices=choices)
 
 def on_token_change(user_token):
-    openai.api_key = user_token or os.environ.get("OPENAI_API_KEY")
+    openai.api_key = user_token
 
 def on_prompt_template_change(prompt_template):
     if not isinstance(prompt_template, str): return
     return prompt_templates[prompt_template]
 
-def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state):
+def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, context_length, state):
 
     history = state['messages']
 
     if not prompt:
-        return gr.update(value='', visible=state['total_tokens'] < 1_000), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']} / 3000", state
+        return gr.update(value=''), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']}", state
     
     prompt_template = prompt_templates[prompt_template]
 
@@ -43,9 +50,17 @@ def submit_message(user_token, prompt, prompt_template, temperature, max_tokens,
         system_prompt = [{ "role": "system", "content": prompt_template }]
 
     prompt_msg = { "role": "user", "content": prompt }
+
+    if not user_token:
+        history.append(prompt_msg)
+        history.append({
+            "role": "system",
+            "content": "Error: OpenAI API Key is not set."
+        })
+        return '', [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: 0", state
     
     try:
-        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
+        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history[-context_length*2:] + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
 
         history.append(prompt_msg)
         history.append(completion.choices[0].message.to_dict())
@@ -59,21 +74,21 @@ def submit_message(user_token, prompt, prompt_template, temperature, max_tokens,
             "content": f"Error: {e}"
         })
 
-    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else ""
+    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']}"
     chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)]
-    input_visibility = user_token or state['total_tokens'] < 3000
 
-    return gr.update(value='', visible=input_visibility), chat_messages, total_tokens_used_msg, state
+    return '', chat_messages, total_tokens_used_msg, state
 
 def clear_conversation():
     return gr.update(value=None, visible=True), None, "", get_empty_state()
 
+
 css = """
       #col-container {max-width: 80%; margin-left: auto; margin-right: auto;}
       #chatbox {min-height: 400px;}
       #header {text-align: center;}
       #prompt_template_preview {padding: 1em; border-width: 1px; border-style: solid; border-color: #e0e0e0; border-radius: 4px;}
-      #total_tokens_str {text-align: right; font-size: 0.8em; color: #666; height: 1em;}
+      #total_tokens_str {text-align: right; font-size: 0.8em; color: #666;}
       #label {font-size: 0.8em; padding: 0.5em; margin: 0;}
       .message { font-size: 1.2em; }
       """
@@ -85,9 +100,8 @@ with gr.Blocks(css=css) as demo:
 
     with gr.Column(elem_id="col-container"):
         gr.Markdown("""## OpenAI ChatGPT Demo
-                    Using the ofiicial API (gpt-3.5-turbo model)<br>
-                    Prompt templates from [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts).<br>
-                    Current limit is 3000 tokens per conversation.""",
+                    Using the ofiicial API (gpt-3.5-turbo model)
+                    Prompt templates from [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts).""",
                     elem_id="header")
 
         with gr.Row():
@@ -98,26 +112,27 @@ with gr.Blocks(css=css) as demo:
                 total_tokens_str = gr.Markdown(elem_id="total_tokens_str")
                 btn_clear_conversation = gr.Button("🔃 Start New Conversation")
             with gr.Column():
+                gr.Markdown("Enter your OpenAI API Key. You can get one [here](https://platform.openai.com/account/api-keys).", elem_id="label")
+                user_token = gr.Textbox(value='', placeholder="OpenAI API Key", type="password", show_label=False)
                 prompt_template = gr.Dropdown(label="Set a custom insruction for the chatbot:", choices=list(prompt_templates.keys()))
                 prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview")
-                gr.Markdown("Enter your own OpenAI API Key to remove the 3000 token limit. You can get it [here](https://platform.openai.com/account/api-keys).", elem_id="label")
-                user_token = gr.Textbox(placeholder="OpenAI API Key", type="password", show_label=False)
                 with gr.Accordion("Advanced parameters", open=False):
-                    temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, interactive=True, label="Temperature (higher = more creative/chaotic)")
-                    max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, interactive=True, label="Max tokens per response")
+                    temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, label="Temperature", info="Higher = more creative/chaotic")
+                    max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, label="Max tokens per response")
+                    context_length = gr.Slider(minimum=1, maximum=10, value=2, step=1, label="Context length", info="Number of previous messages to send to the chatbot. Be careful with high values, it can blow up the token budget quickly.")
 
-    gr.HTML('''<br><br><br><center><a href="https://huggingface.co/spaces/anzorq/chatgpt-demo?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>You can duplicate this Space.<br>
-            Don't forget to set your own <a href="https://platform.openai.com/account/api-keys">OpenAI API Key</a> environment variable in Settings.<br>
+    gr.HTML('''<br><br><br><center>You can duplicate this Space to skip the queue:<a href="https://huggingface.co/spaces/anzorq/chatgpt-demo?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a><br>
             <p><img src="https://visitor-badge.glitch.me/badge?page_id=anzorq.chatgpt_api_demo_hf" alt="visitors"></p></center>''')
 
-    btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
-    input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
+    btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, total_tokens_str, state])
+    input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, total_tokens_str, state])
     btn_clear_conversation.click(clear_conversation, [], [input_message, chatbot, total_tokens_str, state])
     prompt_template.change(on_prompt_template_change, inputs=[prompt_template], outputs=[prompt_template_preview])
     user_token.change(on_token_change, inputs=[user_token], outputs=[])
 
     
-    demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template])
+    demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template], queur=False)
 
 
-demo.launch(debug=True, height='800px')
+demo.queue(concurrency_count=10)
+demo.launch(height='800px')