46 lines
No EOL
1.6 KiB
Python
46 lines
No EOL
1.6 KiB
Python
import gradio as gr
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from openai import OpenAI
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client = OpenAI(
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base_url = 'http://localhost:7869/v1',
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api_key='ollama', # required, but unused
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)
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chat_history = []
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def ask(text):
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global chat_history
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chat_history.append({"role": "user", "content": text})
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response = client.chat.completions.create(
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model="llama3.2",
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messages=chat_history
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)
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response_text = response.choices[0].message.content
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chat_history.append({"role": "assistant", "content": response_text})
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formatted_history = "\n".join([f"**{msg['role'].capitalize()}**: {msg['content']}" for msg in chat_history])
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print("Formatted History: ", formatted_history)
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return formatted_history, ""
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def clear_history():
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global chat_history
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chat_history = []
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# Reset the conversation on the server side
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client.chat.completions.create(
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model="llama3.2",
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messages=[{"role": "system", "content": "Reset conversation"}]
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)
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return ""
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with gr.Blocks() as server:
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with gr.Tab("Chatbot LF6"):
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chatbox = gr.Textbox(label="Chat History", lines=10, interactive=False)
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input_text = gr.Textbox(label="Input Text", placeholder="Enter your text here...")
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submit_button = gr.Button("Submit")
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clear_button = gr.Button("Clear")
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submit_button.click(fn=ask, inputs=input_text, outputs=[chatbox, input_text])
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input_text.submit(fn=ask, inputs=input_text, outputs=[chatbox, input_text]) # Submit on Enter key press
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clear_button.click(fn=clear_history, inputs=None, outputs=chatbox)
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server.launch() |