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Update app.py
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app.py
CHANGED
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@@ -3,9 +3,11 @@ from huggingface_hub import InferenceClient
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client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
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def format_alpaca_prompt(user_input, system_prompt):
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"""Formats input in Alpaca/LLaMA style"""
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prompt = f"""{system_prompt}
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### Instruction:
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{user_input}
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@@ -15,7 +17,7 @@ def format_alpaca_prompt(user_input, system_prompt):
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return prompt
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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formatted_prompt = format_alpaca_prompt(message, system_message)
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response = client.text_generation(
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formatted_prompt,
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@@ -27,6 +29,8 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
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# ✅ Extract only the response
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cleaned_response = response.split("### Response:")[-1].strip()
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yield cleaned_response # ✅ Output only the answer
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demo = gr.ChatInterface(
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@@ -39,6 +43,5 @@ demo = gr.ChatInterface(
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],
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)
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if
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__name__ == "__main__":
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demo.launch()
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client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
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def format_alpaca_prompt(user_input, system_prompt, history):
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"""Formats input in Alpaca/LLaMA style"""
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history_str = "\n".join([f"### Instruction:\n{h[0]}\n### Response:\n{h[1]}" for h in history])
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prompt = f"""{system_prompt}
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{history_str}
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### Instruction:
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{user_input}
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return prompt
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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formatted_prompt = format_alpaca_prompt(message, system_message, history)
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response = client.text_generation(
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formatted_prompt,
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# ✅ Extract only the response
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cleaned_response = response.split("### Response:")[-1].strip()
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history.append((message, cleaned_response)) # ✅ Update history with the new message and response
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yield cleaned_response # ✅ Output only the answer
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demo = gr.ChatInterface(
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],
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)
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if __name__ == "__main__":
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demo.launch()
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