Update app.py

app.py

@@ -1,123 +1,45 @@
-import gradio as gr
-import os
-import openai
-import requests
-import json
-
-openai.api_key = os.environ.get("OPENAI_API_KEY")
-
-prompt_templates = {"Default ChatGPT": ""}
-
-def get_empty_state():
-    return {"total_tokens": 0, "messages": []}
-
-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('"', '')
-
-    choices = list(prompt_templates.keys())
-    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")
-
-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):
-
-    history = state['messages']
+    import os
+import openai
+import gradio as gr
 
-    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
+openai.ChatCompletion.create(
+  model="gpt-3.5-turbo",
     
-    prompt_template = prompt_templates[prompt_template]
+# Set OpenAI API key from environment variable
+openai.api_key = os.environ.get("OPENAI_API_KEY")
 
-    system_prompt = []
-    if prompt_template:
-        system_prompt = [{ "role": "system", "content": prompt_template }]
+# Define GPT-3.5 Turbo model
+model = "gpt-3.5-turbo"
 
-    prompt_msg = { "role": "user", "content": prompt }
-    
+# Define function for generating responses
+def generate_response(prompt):
     try:
-        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
-
-        history.append(prompt_msg)
-        history.append(completion.choices[0].message.to_dict())
-
-        state['total_tokens'] += completion['usage']['total_tokens']
-    
+        response = openai.Completion.create(
+            engine=model,
+            prompt=prompt,
+            max_tokens=1024,
+            n=1,
+            stop=None,
+            temperature=0.7,
+        )
+        return response.choices[0].text.strip()
     except Exception as e:
-        history.append(prompt_msg)
-        history.append({
-            "role": "system",
-            "content": f"Error: {e}"
-        })
-
-    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else ""
-    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
-
-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;}
-      #label {font-size: 0.8em; padding: 0.5em; margin: 0;}
-      .message { font-size: 1.2em; }
-      """
-
-with gr.Blocks(css=css) as demo:
-    
-    state = gr.State(get_empty_state())
-
-
-    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.""",
-                    elem_id="header")
-
-        with gr.Row():
-            with gr.Column():
-                chatbot = gr.Chatbot(elem_id="chatbox")
-                input_message = gr.Textbox(show_label=False, placeholder="Enter text and press enter", visible=True).style(container=False)
-                btn_submit = gr.Button("Submit")
-                total_tokens_str = gr.Markdown(elem_id="total_tokens_str")
-                btn_clear_conversation = gr.Button("🔃 Start New Conversation")
-            with gr.Column():
-                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")
-
-    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>
-            <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_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.launch(debug=True, height='800px')
+        return f"Error: {e}"
+
+# Define input and output interfaces
+input_text = gr.inputs.Textbox(label="Enter your message:")
+output_text = gr.outputs.Textbox(label="AI response:")
+
+# Define Gradio app
+gradio_app = gr.Interface(
+    fn=generate_response,
+    inputs=input_text,
+    outputs=output_text,
+    title="GPT-3.5 Turbo Chatbot",
+    description="Enter a message and get a response from an AI chatbot powered by GPT-3.5 Turbo.",
+    theme="compact",
+)
+
+# Launch Gradio app
+gradio_app.launch(share=True)